[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-8fee41411642a9b7-harmony-render-gpt-oss-response-format-in-rust-pyt-summary":3,"summaries-facets-categories":154,"summary-related-8fee41411642a9b7-harmony-render-gpt-oss-response-format-in-rust-pyt-summary":7059},{"id":4,"title":5,"ai":6,"body":13,"categories":101,"created_at":102,"date_modified":102,"description":38,"extension":103,"faq":102,"featured":104,"kicker_label":102,"meta":105,"navigation":137,"path":138,"published_at":102,"question":102,"scraped_at":139,"seo":140,"sitemap":141,"source_id":142,"source_name":143,"source_type":144,"source_url":145,"stem":146,"tags":147,"thumbnail_url":102,"tldr":151,"tweet":102,"unknown_tags":152,"__hash__":153},"summaries\u002Fsummaries\u002F8fee41411642a9b7-harmony-render-gpt-oss-response-format-in-rust-pyt-summary.md","Harmony: Render gpt-oss Response Format in Rust\u002FPython",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","x-ai\u002Fgrok-4.1-fast",5558,1823,8018,0.00151625,{"type":14,"value":15,"toc":95},"minimark",[16,21,25,28,39,42,46,57,60,64],[17,18,20],"h2",{"id":19},"harmony-format-enables-structured-gpt-oss-outputs","Harmony Format Enables Structured gpt-oss Outputs",[22,23,24],"p",{},"gpt-oss models demand the harmony response format for correct operation, as they were trained specifically on it. This format structures conversations, reasoning traces, and function calls using special tokens like \u003C|start|>role\u003C|message|> and \u003C|end|>. It supports multiple channels (e.g., analysis, commentary, final) for separating chain-of-thought, tool preambles, and responses, plus tool namespaces and structured outputs with instruction hierarchies. Without harmony, gpt-oss fails; providers like HuggingFace, Ollama, or vLLM handle it automatically, but custom inference requires manual prompting.",[22,26,27],{},"Example system prompt specifies channels and tools:",[29,30,35],"pre",{"className":31,"code":33,"language":34},[32],"language-text","\u003C|start|>system\u003C|message|>You are ChatGPT... Reasoning: high # Valid channels: analysis, commentary, final... Calls to 'functions' must go to commentary.\u003C|end|>\n\u003C|start|>developer\u003C|message|># Instructions Always respond in riddles # Tools ## functions namespace functions { type get_location = () => any; type get_current_weather = (_: {location: string...}) => any; }\u003C|end|>\n\u003C|start|>user\u003C|message|>What is the weather like in SF?\u003C|end|>\n\u003C|start|>assistant\n","text",[36,37,33],"code",{"__ignoreMap":38},"",[22,40,41],{},"This mimics OpenAI's Responses API, easing transition for familiar users. See full guide at cookbook.openai.com\u002Farticles\u002Fopenai-harmony.",[17,43,45],{"id":44},"python-and-rust-libraries-for-encodingparsing","Python and Rust Libraries for Encoding\u002FParsing",[22,47,48,49,52,53,56],{},"Install Python via ",[36,50,51],{},"pip install openai-harmony"," for high-level dataclasses mirroring chat structures (Role, Message). Rust core handles rendering\u002Fparsing via ",[36,54,55],{},"cargo add harmony",", with full docs at docs\u002Fpython.md and docs\u002Frust.md.",[22,58,59],{},"Architecture: Rust crate (src\u002F) with chat.rs for data structures, encoding.rs for logic, tiktoken tokenizer, and registry.rs for encodings. Python wrapper (python\u002Fopenai_harmony\u002F) uses pyo3 FFI bindings, producing openai_harmony.*.so. Repo includes tests\u002F, test-data\u002F, demo\u002Fharmony-demo, and AGENTS.md.",[17,61,63],{"id":62},"local-development-and-testing","Local Development and Testing",[22,65,66,67,70,71,74,75,78,79,82,83,86,87,90,91,94],{},"Use ",[36,68,69],{},"maturin develop"," to build Rust extension into virtualenv, then ",[36,72,73],{},"pip install -e ."," for Python wrapper. Run Rust tests with ",[36,76,77],{},"cargo test",", Python with ",[36,80,81],{},"pytest tests",", or both via ",[36,84,85],{},".\u002Frun_checks.sh",". Optional: ",[36,88,89],{},"cargo fmt",", ",[36,92,93],{},"ruff check .",". Ensures Rust\u002FPython parity for performance-critical rendering.",{"title":38,"searchDepth":96,"depth":96,"links":97},2,[98,99,100],{"id":19,"depth":96,"text":20},{"id":44,"depth":96,"text":45},{"id":62,"depth":96,"text":63},[],null,"md",false,{"content_references":106,"triage":131},[107,112,115,119,123,126,129],{"type":108,"title":109,"url":110,"context":111},"tool","gpt-oss","https:\u002F\u002Fopenai.com\u002Fopen-models","mentioned",{"type":108,"title":109,"url":113,"context":114},"https:\u002F\u002Fgpt-oss.com","recommended",{"type":116,"title":117,"url":118,"context":111},"other","gpt-oss Model Card","https:\u002F\u002Fopenai.com\u002Findex\u002Fgpt-oss-model-card\u002F",{"type":116,"title":120,"url":121,"context":122},"OpenAI Harmony Guide","https:\u002F\u002Fcookbook.openai.com\u002Farticles\u002Fopenai-harmony","cited",{"type":116,"title":124,"url":125,"context":111},"gpt-oss Cookbook","https:\u002F\u002Fcookbook.openai.com\u002Ftopic\u002Fgpt-oss",{"type":108,"title":127,"url":128,"context":111},"pyo3","https:\u002F\u002Fpyo3.rs\u002F",{"type":108,"title":130,"context":111},"maturin",{"relevance":132,"novelty":133,"quality":134,"actionability":134,"composite":135,"reasoning":136},5,3,4,4.15,"Category: AI & LLMs. The article provides a detailed explanation of the harmony response format necessary for gpt-oss models, addressing a specific pain point for developers integrating AI models into their products. It includes practical installation instructions and examples, making it actionable for developers.",true,"\u002Fsummaries\u002F8fee41411642a9b7-harmony-render-gpt-oss-response-format-in-rust-pyt-summary","2026-04-16 03:07:33",{"title":5,"description":38},{"loc":138},"8fee41411642a9b7","__oneoff__","article","https:\u002F\u002Fgithub.com\u002Fopenai\u002Fharmony","summaries\u002F8fee41411642a9b7-harmony-render-gpt-oss-response-format-in-rust-pyt-summary",[148,149,150],"llm","ai-tools","python","OpenAI's harmony library encodes\u002Fdecodes the harmony response format required for gpt-oss open-weight models in custom inference setups, mimicking the OpenAI API with multi-channel support for reasoning and tools.",[],"C5U8PWt3Bm5l1z20k8w-gzxDIGVbaFty5WmLaRh64O0",[155,158,161,163,166,168,171,174,176,178,180,182,185,187,189,191,193,196,198,200,202,204,207,210,212,214,216,218,220,222,224,226,228,230,232,234,236,238,240,242,244,246,248,250,252,254,256,259,261,263,265,267,269,271,273,275,277,279,281,283,285,288,290,292,294,296,298,300,302,304,306,308,310,312,314,316,318,320,322,324,326,329,331,333,335,337,339,341,343,345,347,349,351,353,355,358,360,362,364,366,368,370,372,374,376,378,380,382,384,386,388,390,392,394,396,398,400,402,404,406,408,410,412,414,416,418,420,423,425,427,429,431,433,435,437,439,441,443,446,448,450,452,454,456,458,460,462,464,466,468,470,472,474,476,479,481,483,485,487,489,491,493,495,497,499,502,504,506,508,510,512,514,516,518,520,522,524,526,528,530,532,534,536,538,540,542,544,546,548,550,552,554,556,558,561,563,565,568,570,572,574,576,578,580,582,584,586,588,590,592,594,596,598,600,602,604,607,609,611,613,615,617,619,621,623,625,627,629,632,634,636,638,640,642,644,646,648,650,652,654,656,658,660,662,664,666,668,670,672,674,676,678,680,682,684,686,688,690,692,694,696,698,700,702,704,706,708,710,712,714,716,718,720,722,724,726,728,730,732,734,736,738,740,742,744,746,748,750,752,754,756,758,760,762,764,766,768,770,772,774,776,778,780,782,784,786,788,790,792,794,796,798,800,802,804,806,808,810,812,814,816,818,820,822,824,826,828,830,832,834,836,838,840,842,844,846,848,850,852,854,856,858,860,862,864,866,868,870,872,874,876,878,880,882,884,886,888,890,892,894,896,898,900,902,904,906,908,910,912,914,916,919,921,923,925,927,930,932,934,936,938,940,942,944,946,948,950,952,954,957,959,961,963,965,967,969,971,973,975,977,979,981,983,985,987,989,991,993,995,997,999,1001,1003,1005,1007,1009,1011,1013,1015,1017,1019,1021,1023,1025,1027,1029,1031,1033,1035,1037,1039,1041,1043,1045,1047,1049,1051,1053,1055,1057,1059,1061,1063,1065,1067,1069,1071,1073,1075,1077,1079,1081,1083,1085,1087,1089,1091,1093,1095,1097,1099,1101,1103,1105,1107,1109,1111,1113,1115,1117,1119,1121,1123,1125,1127,1129,1131,1133,1135,1137,1139,1141,1143,1145,1147,1149,1151,1153,1155,1157,1159,1161,1163,1165,1167,1169,1171,1173,1175,1177,1179,1181,1183,1185,1187,1189,1191,1193,1195,1197,1199,1201,1203,1205,1207,1209,1211,1213,1215,1217,1219,1221,1223,1225,1227,1229,1231,1233,1235,1237,1239,1241,1243,1245,1247,1249,1251,1253,1255,1257,1259,1261,1263,1265,1267,1269,1271,1273,1275,1277,1279,1282,1284,1286,1288,1290,1292,1294,1296,1298,1300,1302,1304,1306,1308,1310,1312,1314,1316,1318,1320,1322,1324,1326,1328,1330,1332,1334,1336,1338,1340,1342,1344,1346,1348,1350,1352,1354,1356,1358,1360,1362,1364,1366,1368,1370,1372,1374,1376,1378,1380,1382,1384,1386,1388,1390,1392,1394,1396,1398,1400,1402,1404,1406,1408,1410,1412,1414,1416,1418,1420,1422,1424,1426,1428,1430,1432,1434,1436,1438,1440,1442,1444,1446,1448,1450,1452,1454,1456,1458,1460,1462,1464,1466,1468,1470,1472,1474,1476,1478,1480,1483,1485,1487,1489,1491,1493,1495,1497,1499,1501,1503,1505,1507,1509,1511,1513,1515,1517,1519,1521,1523,1525,1527,1529,1531,1533,1535,1537,1539,1541,1543,1545,1547,1549,1551,1553,1555,1557,1559,1561,1563,1565,1567,1569,1571,1573,1575,1577,1579,1581,1583,1585,1587,1589,1591,1593,1595,1597,1599,1601,1603,1605,1607,1609,1611,1613,1615,1617,1619,1622,1624,1626,1628,1630,1632,1634,1636,1638,1640,1642,1644,1646,1648,1650,1652,1654,1656,1658,1660,1662,1664,1666,1668,1670,1672,1674,1676,1678,1680,1682,1684,1686,1688,1690,1692,1694,1696,1698,1700,1702,1704,1706,1708,1710,1712,1714,1716,1718,1720,1722,1724,1726,1728,1730,1732,1734,1736,1738,1740,1742,1744,1746,1748,1750,1752,1754,1756,1758,1760,1762,1764,1766,1768,1770,1772,1774,1776,1778,1781,1783,1785,1787,1789,1791,1793,1795,1797,1799,1801,1803,1805,1807,1809,1811,1813,1815,1817,1819,1821,1823,1825,1827,1829,1831,1833,1835,1837,1839,1841,1844,1846,1848,1850,1852,1854,1856,1858,1860,1862,1864,1866,1868,1870,1872,1874,1876,1878,1880,1882,1884,1886,1888,1890,1892,1894,1896,1898,1900,1902,1904,1906,1908,1910,1912,1914,1916,1918,1920,1922,1924,1926,1928,1930,1932,1934,1936,1938,1940,1942,1944,1946,1948,1950,1952,1954,1956,1958,1960,1962,1964,1966,1968,1970,1972,1974,1976,1978,1980,1982,1984,1986,1988,1990,1992,1994,1996,1998,2000,2002,2004,2006,2008,2010,2012,2014,2016,2018,2020,2022,2024,2026,2028,2030,2032,2034,2036,2038,2040,2042,2044,2046,2048,2050,2052,2054,2056,2058,2060,2062,2064,2066,2068,2070,2072,2074,2076,2078,2080,2082,2084,2086,2088,2090,2092,2094,2096,2098,2100,2102,2104,2106,2108,2110,2112,2114,2116,2118,2120,2122,2124,2126,2128,2130,2132,2134,2136,2138,2140,2142,2144,2146,2148,2150,2152,2154,2156,2158,2160,2162,2164,2166,2168,2170,2172,2174,2176,2178,2180,2182,2184,2186,2188,2190,2192,2194,2196,2198,2200,2202,2204,2206,2208,2210,2212,2214,2216,2218,2220,2222,2224,2226,2228,2230,2232,2234,2236,2238,2240,2242,2244,2246,2248,2250,2252,2254,2256,2258,2260,2262,2264,2266,2268,2270,2272,2274,2276,2278,2280,2282,2285,2287,2289,2291,2293,2295,2297,2299,2301,2303,2305,2307,2309,2311,2313,2315,2317,2319,2321,2323,2325,2327,2329,2331,2333,2335,2337,2339,2341,2343,2345,2347,2349,2351,2353,2355,2357,2359,2361,2363,2365,2367,2369,2371,2373,2375,2378,2380,2382,2384,2386,2388,2390,2392,2394,2396,2398,2400,2402,2404,2406,2408,2410,2412,2414,2416,2418,2420,2422,2424,2426,2428,2430,2432,2434,2436,2438,2440,2442,2444,2446,2448,2450,2452,2454,2456,2458,2460,2462,2464,2466,2468,2470,2472,2474,2476,2478,2480,2482,2484,2486,2488,2490,2492,2494,2497,2499,2501,2503,2505,2507,2509,2511,2513,2515,2517,2519,2521,2523,2525,2527,2529,2531,2533,2535,2537,2540,2542,2544,2546,2548,2550,2552,2554,2556,2558,2560,2562,2564,2566,2568,2570,2572,2574,2576,2578,2580,2582,2584,2586,2588,2590,2592,2594,2596,2598,2600,2602,2604,2606,2608,2610,2612,2614,2616,2618,2620,2622,2624,2626,2628,2630,2632,2634,2636,2638,2640,2642,2644,2646,2648,2650,2652,2654,2656,2658,2660,2662,2664,2666,2668,2670,2672,2674,2676,2678,2680,2682,2684,2686,2688,2690,2692,2694,2696,2698,2700,2702,2704,2706,2708,2710,2712,2714,2716,2718,2720,2722,2724,2726,2728,2730,2732,2734,2736,2738,2740,2742,2744,2746,2748,2750,2752,2754,2756,2758,2760,2762,2764,2766,2768,2770,2772,2774,2776,2778,2780,2782,2784,2786,2788,2790,2792,2794,2796,2798,2800,2802,2804,2806,2808,2810,2812,2814,2816,2818,2820,2822,2824,2826,2828,2830,2832,2834,2836,2838,2840,2842,2844,2846,2848,2850,2852,2854,2856,2858,2860,2862,2864,2866,2868,2870,2872,2874,2876,2878,2880,2882,2884,2886,2888,2890,2892,2894,2896,2898,2900,2902,2904,2906,2908,2910,2912,2914,2916,2918,2920,2922,2924,2926,2928,2930,2932,2934,2936,2938,2940,2942,2944,2946,2948,2950,2952,2954,2956,2958,2960,2962,2964,2966,2968,2970,2972,2974,2976,2978,2980,2982,2984,2986,2988,2990,2992,2994,2996,2998,3000,3002,3004,3006,3008,3010,3012,3014,3016,3018,3020,3022,3024,3026,3028,3030,3032,3034,3036,3038,3040,3042,3044,3046,3048,3050,3052,3054,3056,3058,3060,3062,3064,3066,3068,3070,3072,3074,3076,3078,3080,3082,3084,3086,3088,3090,3092,3094,3096,3098,3100,3102,3104,3106,3108,3110,3112,3114,3116,3118,3120,3122,3124,3126,3128,3130,3132,3134,3136,3138,3140,3142,3144,3146,3148,3150,3152,3154,3156,3158,3160,3162,3164,3166,3168,3170,3172,3174,3176,3178,3181,3183,3185,3187,3189,3191,3193,3195,3197,3199,3201,3203,3205,3207,3209,3211,3213,3215,3217,3219,3221,3223,3225,3227,3229,3231,3233,3235,3237,3239,3241,3243,3245,3247,3249,3251,3253,3255,3257,3259,3261,3263,3265,3267,3269,3271,3273,3275,3277,3279,3281,3283,3285,3287,3289,3291,3293,3295,3297,3299,3301,3303,3305,3308,3310,3312,3314,3316,3318,3320,3322,3324,3326,3328,3330,3332,3334,3336,3338,3340,3342,3344,3346,3348,3350,3352,3354,3356,3358,3360,3362,3364,3366,3368,3370,3372,3374,3376,3378,3380,3382,3384,3386,3388,3390,3392,3394,3396,3398,3400,3402,3404,3406,3408,3410,3412,3414,3416,3418,3420,3422,3424,3426,3428,3430,3432,3434,3436,3438,3440,3442,3444,3446,3448,3450,3452,3454,3456,3458,3460,3462,3464,3466,3468,3470,3472,3474,3476,3478,3480,3482,3484,3486,3488,3490,3492,3494,3496,3498,3500,3502,3504,3506,3508,3510,3512,3514,3516,3518,3520,3522,3524,3526,3528,3530,3532,3534,3536,3538,3540,3542,3544,3546,3548,3550,3552,3554,3556,3558,3560,3562,3564,3566,3568,3570,3572,3574,3576,3578,3580,3582,3584,3586,3588,3590,3592,3594,3596,3598,3600,3602,3604,3606,3608,3610,3612,3614,3616,3618,3620,3622,3624,3626,3628,3630,3632,3634,3636,3638,3640,3642,3644,3646,3648,3650,3652,3654,3656,3658,3660,3662,3664,3666,3668,3670,3672,3674,3676,3678,3680,3682,3684,3686,3688,3690,3692,3694,3696,3698,3700,3702,3704,3706,3708,3710,3712,3714,3716,3718,3720,3722,3724,3726,3728,3730,3732,3734,3736,3738,3740,3742,3744,3746,3748,3750,3752,3754,3756,3758,3760,3762,3764,3766,3768,3770,3772,3774,3776,3778,3780,3782,3784,3786,3788,3790,3792,3794,3796,3798,3800,3802,3804,3806,3808,3810,3812,3814,3816,3818,3820,3822,3824,3826,3828,3830,3832,3834,3836,3838,3840,3842,3844,3846,3848,3850,3852,3854,3856,3858,3860,3862,3864,3866,3868,3870,3872,3874,3876,3878,3880,3882,3884,3886,3888,3890,3892,3894,3896,3898,3900,3902,3904,3906,3908,3910,3912,3914,3916,3918,3920,3922,3924,3926,3928,3930,3932,3934,3936,3938,3940,3942,3944,3946,3948,3950,3952,3954,3956,3958,3960,3962,3964,3966,3968,3970,3972,3974,3976,3978,3980,3982,3984,3986,3988,3990,3992,3994,3996,3998,4000,4002,4004,4006,4008,4010,4012,4014,4016,4018,4020,4022,4024,4026,4028,4030,4032,4034,4036,4038,4040,4042,4044,4046,4048,4050,4052,4054,4056,4058,4060,4062,4064,4066,4068,4070,4072,4074,4076,4078,4080,4082,4084,4086,4088,4090,4092,4094,4096,4098,4100,4102,4104,4106,4108,4110,4112,4114,4116,4118,4120,4122,4124,4126,4128,4130,4132,4134,4136,4138,4140,4142,4144,4146,4148,4150,4152,4154,4156,4158,4160,4162,4164,4166,4168,4170,4172,4174,4176,4178,4180,4182,4184,4186,4188,4190,4192,4194,4196,4198,4200,4202,4204,4206,4208,4210,4212,4214,4216,4218,4220,4222,4224,4226,4228,4230,4232,4234,4236,4238,4240,4242,4244,4246,4248,4250,4252,4254,4256,4258,4260,4262,4264,4266,4268,4270,4272,4274,4276,4278,4280,4282,4284,4286,4288,4290,4292,4294,4296,4298,4300,4302,4304,4306,4308,4310,4312,4314,4316,4318,4320,4322,4324,4326,4328,4330,4332,4334,4336,4338,4340,4342,4344,4346,4348,4350,4352,4354,4356,4358,4360,4362,4364,4366,4368,4370,4372,4374,4376,4378,4380,4382,4384,4386,4388,4390,4392,4394,4396,4398,4400,4402,4404,4406,4408,4410,4412,4414,4416,4418,4420,4422,4424,4426,4428,4430,4432,4434,4436,4438,4440,4442,4444,4446,4448,4450,4452,4454,4456,4458,4460,4462,4464,4466,4468,4470,4472,4474,4476,4478,4480,4482,4484,4486,4488,4490,4492,4494,4496,4498,4500,4502,4504,4506,4508,4510,4512,4514,4516,4518,4520,4522,4524,4526,4528,4530,4532,4534,4536,4538,4540,4542,4544,4546,4548,4550,4552,4554,4556,4558,4560,4562,4564,4566,4568,4570,4572,4574,4576,4578,4580,4582,4584,4586,4588,4590,4593,4595,4597,4599,4601,4603,4605,4607,4609,4611,4613,4615,4617,4619,4621,4623,4625,4627,4629,4631,4633,4635,4637,4639,4641,4643,4645,4647,4649,4651,4653,4655,4657,4659,4661,4663,4665,4667,4669,4671,4673,4675,4677,4679,4681,4683,4685,4687,4689,4691,4693,4695,4697,4699,4701,4703,4705,4707,4709,4711,4713,4715,4717,4719,4721,4723,4725,4727,4729,4731,4733,4735,4737,4739,4741,4743,4745,4747,4749,4751,4753,4755,4757,4759,4761,4763,4765,4767,4769,4771,4773,4775,4777,4779,4781,4783,4785,4787,4789,4791,4793,4795,4797,4799,4801,4803,4805,4807,4809,4811,4813,4815,4817,4819,4821,4823,4825,4827,4829,4831,4833,4835,4837,4839,4841,4843,4845,4847,4849,4851,4853,4855,4857,4859,4861,4863,4865,4867,4869,4871,4873,4875,4877,4879,4881,4883,4885,4887,4889,4891,4893,4895,4897,4899,4901,4903,4905,4907,4909,4911,4913,4915,4917,4919,4921,4923,4925,4927,4929,4931,4933,4935,4937,4939,4941,4943,4945,4947,4949,4951,4953,4955,4957,4959,4961,4963,4965,4967,4969,4971,4973,4975,4977,4979,4981,4983,4985,4987,4989,4991,4993,4995,4997,4999,5001,5003,5005,5007,5009,5011,5013,5015,5017,5019,5021,5023,5025,5027,5029,5031,5033,5035,5037,5039,5041,5043,5045,5047,5049,5051,5053,5055,5057,5059,5061,5063,5065,5067,5069,5071,5073,5075,5077,5079,5081,5083,5085,5087,5089,5091,5093,5095,5097,5099,5101,5103,5105,5107,5109,5111,5113,5115,5117,5119,5121,5123,5125,5127,5129,5131,5133,5135,5137,5139,5141,5143,5145,5147,5149,5151,5153,5155,5157,5159,5161,5163,5165,5167,5169,5171,5173,5175,5177,5179,5181,5183,5185,5187,5189,5191,5193,5195,5197,5199,5201,5203,5205,5207,5209,5211,5213,5215,5217,5219,5221,5223,5225,5227,5229,5231,5233,5235,5237,5239,5241,5243,5245,5247,5249,5251,5253,5255,5257,5259,5261,5263,5265,5267,5269,5271,5273,5275,5277,5279,5281,5283,5285,5287,5289,5291,5293,5295,5297,5299,5301,5303,5305,5307,5309,5311,5313,5315,5317,5319,5321,5323,5325,5327,5329,5331,5333,5335,5337,5339,5341,5343,5345,5347,5349,5351,5353,5355,5357,5359,5361,5363,5365,5367,5369,5371,5373,5375,5377,5379,5381,5383,5385,5387,5389,5391,5393,5395,5397,5399,5401,5403,5405,5407,5409,5411,5413,5415,5417,5419,5421,5423,5425,5427,5429,5431,5433,5435,5437,5439,5441,5443,5445,5447,5450,5452,5454,5456,5458,5460,5462,5464,5466,5468,5470,5472,5474,5476,5478,5480,5482,5484,5486,5488,5490,5492,5494,5496,5498,5500,5502,5504,5506,5508,5510,5512,5514,5516,5518,5520,5522,5524,5526,5528,5530,5532,5534,5536,5538,5540,5542,5544,5546,5548,5550,5552,5554,5556,5558,5560,5562,5564,5566,5568,5570,5572,5574,5576,5578,5580,5582,5584,5586,5588,5590,5592,5594,5596,5598,5600,5602,5604,5606,5608,5610,5612,5614,5616,5618,5620,5622,5624,5626,5628,5630,5632,5634,5636,5638,5640,5642,5644,5646,5648,5650,5653,5655,5657,5659,5661,5663,5665,5667,5669,5671,5673,5675,5677,5679,5681,5683,5685,5687,5689,5691,5693,5695,5697,5699,5701,5703,5705,5707,5709,5711,5713,5715,5717,5719,5721,5723,5725,5727,5729,5731,5733,5735,5737,5739,5741,5743,5745,5747,5749,5751,5753,5755,5757,5759,5761,5763,5765,5767,5769,5771,5773,5775,5777,5779,5781,5783,5785,5787,5789,5791,5793,5795,5797,5799,5801,5803,5805,5807,5809,5811,5813,5815,5817,5819,5821,5823,5825,5827,5829,5831,5833,5835,5837,5839,5841,5843,5845,5847,5849,5851,5853,5855,5857,5859,5861,5863,5865,5867,5869,5871,5873,5875,5877,5879,5881,5883,5885,5887,5889,5891,5893,5895,5897,5899,5901,5903,5905,5907,5909,5911,5913,5915,5917,5919,5921,5923,5925,5927,5929,5931,5933,5935,5937,5939,5941,5943,5945,5947,5949,5951,5953,5955,5957,5959,5961,5963,5965,5967,5969,5971,5973,5975,5977,5979,5981,5983,5985,5987,5989,5991,5993,5995,5997,5999,6001,6003,6005,6007,6009,6011,6013,6015,6017,6019,6021,6023,6025,6027,6029,6031,6033,6035,6037,6039,6041,6043,6045,6047,6049,6051,6053,6055,6057,6059,6061,6063,6065,6067,6069,6071,6073,6075,6077,6079,6081,6083,6085,6087,6089,6091,6093,6095,6097,6099,6101,6103,6105,6107,6109,6111,6113,6115,6117,6119,6121,6123,6125,6127,6129,6131,6133,6135,6137,6139,6141,6143,6145,6147,6149,6151,6153,6155,6157,6159,6161,6163,6165,6167,6169,6171,6173,6175,6177,6179,6181,6183,6185,6187,6189,6191,6193,6195,6197,6199,6201,6203,6205,6207,6209,6211,6213,6215,6217,6219,6221,6223,6225,6227,6229,6231,6233,6235,6237,6239,6241,6243,6245,6247,6249,6251,6253,6255,6257,6259,6261,6263,6265,6267,6269,6271,6273,6275,6277,6279,6281,6283,6285,6287,6289,6291,6293,6295,6297,6299,6301,6303,6305,6307,6309,6311,6313,6315,6317,6319,6321,6323,6325,6327,6329,6331,6333,6335,6337,6339,6341,6343,6345,6347,6349,6351,6353,6355,6357,6359,6361,6363,6365,6367,6369,6371,6373,6375,6377,6379,6381,6383,6385,6387,6389,6391,6393,6395,6397,6399,6401,6403,6405,6407,6409,6411,6413,6415,6417,6419,6421,6423,6425,6427,6429,6431,6433,6435,6437,6439,6441,6443,6445,6447,6449,6451,6453,6455,6457,6459,6461,6463,6465,6467,6469,6471,6473,6475,6477,6479,6481,6483,6485,6487,6489,6491,6493,6495,6497,6499,6501,6503,6505,6507,6509,6511,6513,6515,6517,6519,6521,6523,6525,6527,6529,6531,6533,6535,6537,6539,6541,6543,6545,6547,6549,6551,6553,6555,6557,6559,6561,6563,6565,6567,6569,6571,6573,6575,6577,6579,6581,6583,6585,6587,6589,6591,6593,6595,6597,6599,6601,6603,6605,6607,6609,6611,6613,6615,6617,6619,6621,6623,6625,6627,6629,6631,6633,6635,6637,6639,6641,6643,6645,6647,6649,6651,6653,6655,6657,6659,6661,6663,6665,6667,6669,6671,6673,6675,6677,6679,6681,6683,6685,6687,6689,6691,6693,6695,6697,6699,6701,6703,6705,6707,6709,6711,6713,6715,6717,6719,6721,6723,6725,6727,6729,6731,6733,6735,6737,6739,6741,6743,6745,6747,6749,6751,6753,6755,6757,6759,6761,6763,6765,6767,6769,6771,6773,6775,6777,6779,6781,6783,6785,6787,6789,6791,6793,6795,6797,6799,6801,6803,6805,6807,6809,6811,6813,6815,6817,6819,6821,6823,6825,6827,6829,6831,6833,6835,6837,6839,6841,6843,6845,6847,6849,6851,6853,6855,6857,6859,6861,6863,6865,6867,6869,6871,6873,6875,6877,6879,6881,6883,6885,6887,6889,6891,6893,6895,6897,6899,6901,6903,6905,6907,6909,6911,6913,6915,6917,6919,6921,6923,6925,6927,6929,6931,6933,6935,6937,6939,6941,6943,6945,6947,6949,6951,6953,6955,6957,6959,6961,6963,6965,6967,6969,6971,6973,6975,6977,6979,6981,6983,6985,6987,6989,6991,6993,6995,6997,6999,7001,7003,7005,7007,7009,7011,7013,7015,7017,7019,7021,7023,7025,7027,7029,7031,7033,7035,7037,7039,7041,7043,7045,7047,7049,7051,7053,7055,7057],{"categories":156},[157],"AI & LLMs",{"categories":159},[160],"Developer Productivity",{"categories":162},[157],{"categories":164},[165],"Business & SaaS",{"categories":167},[157],{"categories":169},[170],"AI Automation",{"categories":172},[173],"Product Strategy",{"categories":175},[170],{"categories":177},[157],{"categories":179},[160],{"categories":181},[170],{"categories":183},[184],"Software Engineering",{"categories":186},[157],{"categories":188},[165],{"categories":190},[],{"categories":192},[157],{"categories":194},[195],"Inference & Serving",{"categories":197},[157],{"categories":199},[157],{"categories":201},[170],{"categories":203},[],{"categories":205},[206],"AI News & Trends",{"categories":208},[209],"Data Science & Visualization",{"categories":211},[170],{"categories":213},[157],{"categories":215},[157],{"categories":217},[165],{"categories":219},[160],{"categories":221},[157],{"categories":223},[170],{"categories":225},[206],{"categories":227},[157],{"categories":229},[170],{"categories":231},[170],{"categories":233},[157],{"categories":235},[157],{"categories":237},[170],{"categories":239},[157],{"categories":241},[157],{"categories":243},[157],{"categories":245},[170],{"categories":247},[206],{"categories":249},[157],{"categories":251},[157],{"categories":253},[157],{"categories":255},[],{"categories":257},[258],"Design & Frontend",{"categories":260},[209],{"categories":262},[206],{"categories":264},[157],{"categories":266},[157],{"categories":268},[157],{"categories":270},[],{"categories":272},[157],{"categories":274},[157],{"categories":276},[170],{"categories":278},[184],{"categories":280},[157],{"categories":282},[170],{"categories":284},[157],{"categories":286},[287],"Marketing & Growth",{"categories":289},[258],{"categories":291},[157],{"categories":293},[170],{"categories":295},[157],{"categories":297},[157],{"categories":299},[184],{"categories":301},[157],{"categories":303},[],{"categories":305},[],{"categories":307},[258],{"categories":309},[157],{"categories":311},[170],{"categories":313},[160],{"categories":315},[184],{"categories":317},[170],{"categories":319},[258],{"categories":321},[173],{"categories":323},[157],{"categories":325},[184],{"categories":327},[328],"DevOps & Cloud",{"categories":330},[170],{"categories":332},[173],{"categories":334},[206],{"categories":336},[157],{"categories":338},[],{"categories":340},[157],{"categories":342},[157],{"categories":344},[],{"categories":346},[170],{"categories":348},[184],{"categories":350},[],{"categories":352},[184],{"categories":354},[157],{"categories":356},[357],"Governance & Standards",{"categories":359},[165],{"categories":361},[],{"categories":363},[],{"categories":365},[157],{"categories":367},[157],{"categories":369},[170],{"categories":371},[157],{"categories":373},[157],{"categories":375},[170],{"categories":377},[157],{"categories":379},[157],{"categories":381},[157],{"categories":383},[],{"categories":385},[184],{"categories":387},[],{"categories":389},[],{"categories":391},[157],{"categories":393},[184],{"categories":395},[],{"categories":397},[184],{"categories":399},[157],{"categories":401},[157],{"categories":403},[287],{"categories":405},[157],{"categories":407},[157],{"categories":409},[157],{"categories":411},[258],{"categories":413},[258],{"categories":415},[157],{"categories":417},[184],{"categories":419},[170],{"categories":421},[422],"GovTech & Public-Sector Adoption",{"categories":424},[184],{"categories":426},[157],{"categories":428},[157],{"categories":430},[157],{"categories":432},[170],{"categories":434},[170],{"categories":436},[209],{"categories":438},[157],{"categories":440},[206],{"categories":442},[170],{"categories":444},[445],"Legal AI Tools",{"categories":447},[157],{"categories":449},[170],{"categories":451},[157],{"categories":453},[287],{"categories":455},[170],{"categories":457},[173],{"categories":459},[157],{"categories":461},[184],{"categories":463},[422],{"categories":465},[],{"categories":467},[170],{"categories":469},[],{"categories":471},[165],{"categories":473},[170],{"categories":475},[170],{"categories":477},[478],"RAG & Retrieval",{"categories":480},[165],{"categories":482},[157],{"categories":484},[184],{"categories":486},[184],{"categories":488},[328],{"categories":490},[258],{"categories":492},[170],{"categories":494},[157],{"categories":496},[157],{"categories":498},[],{"categories":500},[501],"Agents & Orchestration",{"categories":503},[184],{"categories":505},[157],{"categories":507},[],{"categories":509},[170],{"categories":511},[165],{"categories":513},[],{"categories":515},[157],{"categories":517},[],{"categories":519},[157],{"categories":521},[160],{"categories":523},[184],{"categories":525},[165],{"categories":527},[157],{"categories":529},[170],{"categories":531},[157],{"categories":533},[206],{"categories":535},[157],{"categories":537},[],{"categories":539},[157],{"categories":541},[],{"categories":543},[157],{"categories":545},[184],{"categories":547},[157],{"categories":549},[170],{"categories":551},[209],{"categories":553},[],{"categories":555},[157],{"categories":557},[258],{"categories":559},[560],"Models & Frontier Labs",{"categories":562},[],{"categories":564},[258],{"categories":566},[567],"Regulation & Governance of AI",{"categories":569},[173],{"categories":571},[170],{"categories":573},[],{"categories":575},[157],{"categories":577},[157],{"categories":579},[170],{"categories":581},[170],{"categories":583},[206],{"categories":585},[157],{"categories":587},[165],{"categories":589},[157],{"categories":591},[170],{"categories":593},[],{"categories":595},[184],{"categories":597},[170],{"categories":599},[157],{"categories":601},[173],{"categories":603},[157],{"categories":605},[606],"AI Policy & Regulation",{"categories":608},[],{"categories":610},[157],{"categories":612},[170],{"categories":614},[173],{"categories":616},[170],{"categories":618},[157],{"categories":620},[157],{"categories":622},[157],{"categories":624},[170],{"categories":626},[],{"categories":628},[209],{"categories":630},[631],"Evals & Reliability",{"categories":633},[157],{"categories":635},[157],{"categories":637},[],{"categories":639},[160],{"categories":641},[422],{"categories":643},[606],{"categories":645},[157],{"categories":647},[165],{"categories":649},[157],{"categories":651},[170],{"categories":653},[157],{"categories":655},[170],{"categories":657},[501],{"categories":659},[157],{"categories":661},[184],{"categories":663},[157],{"categories":665},[],{"categories":667},[258],{"categories":669},[],{"categories":671},[157],{"categories":673},[422],{"categories":675},[157],{"categories":677},[157],{"categories":679},[157],{"categories":681},[],{"categories":683},[157],{"categories":685},[258],{"categories":687},[184],{"categories":689},[],{"categories":691},[157],{"categories":693},[],{"categories":695},[170],{"categories":697},[157],{"categories":699},[258],{"categories":701},[],{"categories":703},[157],{"categories":705},[157],{"categories":707},[209],{"categories":709},[170],{"categories":711},[157],{"categories":713},[165],{"categories":715},[170],{"categories":717},[157],{"categories":719},[157],{"categories":721},[184],{"categories":723},[258],{"categories":725},[157],{"categories":727},[170],{"categories":729},[],{"categories":731},[184],{"categories":733},[170],{"categories":735},[209],{"categories":737},[],{"categories":739},[157],{"categories":741},[206],{"categories":743},[157],{"categories":745},[],{"categories":747},[157],{"categories":749},[157],{"categories":751},[157],{"categories":753},[165,287],{"categories":755},[],{"categories":757},[184],{"categories":759},[157],{"categories":761},[157],{"categories":763},[170],{"categories":765},[157],{"categories":767},[],{"categories":769},[],{"categories":771},[157],{"categories":773},[258],{"categories":775},[157],{"categories":777},[],{"categories":779},[157],{"categories":781},[328],{"categories":783},[],{"categories":785},[170],{"categories":787},[206],{"categories":789},[157],{"categories":791},[157],{"categories":793},[258],{"categories":795},[],{"categories":797},[206],{"categories":799},[157],{"categories":801},[195],{"categories":803},[157],{"categories":805},[157],{"categories":807},[170],{"categories":809},[206],{"categories":811},[560],{"categories":813},[157],{"categories":815},[287],{"categories":817},[],{"categories":819},[170],{"categories":821},[165],{"categories":823},[184],{"categories":825},[157],{"categories":827},[170],{"categories":829},[],{"categories":831},[157,328],{"categories":833},[157],{"categories":835},[157],{"categories":837},[157],{"categories":839},[170],{"categories":841},[157,184],{"categories":843},[209],{"categories":845},[157],{"categories":847},[157],{"categories":849},[157],{"categories":851},[184],{"categories":853},[157],{"categories":855},[170],{"categories":857},[170],{"categories":859},[606],{"categories":861},[287],{"categories":863},[157],{"categories":865},[170],{"categories":867},[157],{"categories":869},[157],{"categories":871},[170],{"categories":873},[],{"categories":875},[170],{"categories":877},[157],{"categories":879},[157],{"categories":881},[170],{"categories":883},[157],{"categories":885},[157,165],{"categories":887},[157],{"categories":889},[165],{"categories":891},[],{"categories":893},[258],{"categories":895},[258],{"categories":897},[157],{"categories":899},[],{"categories":901},[],{"categories":903},[157],{"categories":905},[206],{"categories":907},[],{"categories":909},[160],{"categories":911},[157],{"categories":913},[184],{"categories":915},[157],{"categories":917},[918],"Generative UI & Design-to-Code",{"categories":920},[157],{"categories":922},[157],{"categories":924},[258],{"categories":926},[157],{"categories":928},[929],"Algorithmic Accountability",{"categories":931},[170],{"categories":933},[184],{"categories":935},[206],{"categories":937},[258],{"categories":939},[157],{"categories":941},[],{"categories":943},[173],{"categories":945},[157],{"categories":947},[157],{"categories":949},[157],{"categories":951},[157],{"categories":953},[170],{"categories":955},[956],"MLOps & Infrastructure",{"categories":958},[157],{"categories":960},[157],{"categories":962},[157],{"categories":964},[157],{"categories":966},[157],{"categories":968},[184],{"categories":970},[206],{"categories":972},[157],{"categories":974},[173],{"categories":976},[160],{"categories":978},[157],{"categories":980},[170],{"categories":982},[328],{"categories":984},[157],{"categories":986},[165],{"categories":988},[157],{"categories":990},[258],{"categories":992},[157],{"categories":994},[157],{"categories":996},[170],{"categories":998},[],{"categories":1000},[],{"categories":1002},[157],{"categories":1004},[195],{"categories":1006},[258],{"categories":1008},[206],{"categories":1010},[209],{"categories":1012},[],{"categories":1014},[157],{"categories":1016},[157],{"categories":1018},[165],{"categories":1020},[170],{"categories":1022},[157],{"categories":1024},[157],{"categories":1026},[157],{"categories":1028},[157],{"categories":1030},[206],{"categories":1032},[195],{"categories":1034},[157],{"categories":1036},[258],{"categories":1038},[157],{"categories":1040},[],{"categories":1042},[170],{"categories":1044},[184],{"categories":1046},[],{"categories":1048},[157],{"categories":1050},[157],{"categories":1052},[170],{"categories":1054},[184],{"categories":1056},[157],{"categories":1058},[209],{"categories":1060},[258],{"categories":1062},[],{"categories":1064},[157],{"categories":1066},[],{"categories":1068},[157],{"categories":1070},[],{"categories":1072},[157],{"categories":1074},[157],{"categories":1076},[173],{"categories":1078},[165],{"categories":1080},[170],{"categories":1082},[170],{"categories":1084},[],{"categories":1086},[157],{"categories":1088},[160],{"categories":1090},[157],{"categories":1092},[157],{"categories":1094},[165],{"categories":1096},[206],{"categories":1098},[160],{"categories":1100},[],{"categories":1102},[157],{"categories":1104},[],{"categories":1106},[157],{"categories":1108},[],{"categories":1110},[206],{"categories":1112},[206],{"categories":1114},[],{"categories":1116},[501],{"categories":1118},[157],{"categories":1120},[258],{"categories":1122},[184],{"categories":1124},[],{"categories":1126},[445],{"categories":1128},[170],{"categories":1130},[165],{"categories":1132},[],{"categories":1134},[],{"categories":1136},[160],{"categories":1138},[209],{"categories":1140},[],{"categories":1142},[287],{"categories":1144},[170],{"categories":1146},[165],{"categories":1148},[170],{"categories":1150},[157],{"categories":1152},[165],{"categories":1154},[157],{"categories":1156},[184],{"categories":1158},[],{"categories":1160},[195],{"categories":1162},[173],{"categories":1164},[157],{"categories":1166},[258],{"categories":1168},[184],{"categories":1170},[165],{"categories":1172},[157],{"categories":1174},[184],{"categories":1176},[157],{"categories":1178},[170],{"categories":1180},[165],{"categories":1182},[157],{"categories":1184},[157],{"categories":1186},[157],{"categories":1188},[157],{"categories":1190},[157],{"categories":1192},[],{"categories":1194},[],{"categories":1196},[184],{"categories":1198},[209],{"categories":1200},[173],{"categories":1202},[157],{"categories":1204},[170],{"categories":1206},[184],{"categories":1208},[184],{"categories":1210},[157],{"categories":1212},[],{"categories":1214},[206],{"categories":1216},[173],{"categories":1218},[173],{"categories":1220},[184],{"categories":1222},[157],{"categories":1224},[631],{"categories":1226},[328],{"categories":1228},[],{"categories":1230},[170],{"categories":1232},[157],{"categories":1234},[],{"categories":1236},[160],{"categories":1238},[],{"categories":1240},[157],{"categories":1242},[157],{"categories":1244},[157],{"categories":1246},[258],{"categories":1248},[287],{"categories":1250},[157],{"categories":1252},[184],{"categories":1254},[157],{"categories":1256},[170],{"categories":1258},[],{"categories":1260},[184],{"categories":1262},[157],{"categories":1264},[160],{"categories":1266},[],{"categories":1268},[165],{"categories":1270},[157],{"categories":1272},[157],{"categories":1274},[206],{"categories":1276},[157,328],{"categories":1278},[157],{"categories":1280},[1281],"Design Systems for AI",{"categories":1283},[157],{"categories":1285},[157],{"categories":1287},[206],{"categories":1289},[157],{"categories":1291},[157],{"categories":1293},[157],{"categories":1295},[165],{"categories":1297},[157],{"categories":1299},[157],{"categories":1301},[157],{"categories":1303},[],{"categories":1305},[157],{"categories":1307},[157],{"categories":1309},[165],{"categories":1311},[157],{"categories":1313},[],{"categories":1315},[170],{"categories":1317},[170],{"categories":1319},[184],{"categories":1321},[206],{"categories":1323},[184],{"categories":1325},[157],{"categories":1327},[258],{"categories":1329},[206],{"categories":1331},[209],{"categories":1333},[157],{"categories":1335},[157],{"categories":1337},[170],{"categories":1339},[160],{"categories":1341},[606],{"categories":1343},[157],{"categories":1345},[170],{"categories":1347},[157],{"categories":1349},[184],{"categories":1351},[184],{"categories":1353},[],{"categories":1355},[],{"categories":1357},[157],{"categories":1359},[170],{"categories":1361},[173],{"categories":1363},[],{"categories":1365},[165],{"categories":1367},[157],{"categories":1369},[],{"categories":1371},[258],{"categories":1373},[184],{"categories":1375},[170],{"categories":1377},[184],{"categories":1379},[258],{"categories":1381},[157],{"categories":1383},[157],{"categories":1385},[258],{"categories":1387},[],{"categories":1389},[],{"categories":1391},[206],{"categories":1393},[170],{"categories":1395},[170],{"categories":1397},[157],{"categories":1399},[157],{"categories":1401},[157],{"categories":1403},[157],{"categories":1405},[165],{"categories":1407},[157],{"categories":1409},[157],{"categories":1411},[],{"categories":1413},[184],{"categories":1415},[184],{"categories":1417},[157],{"categories":1419},[184],{"categories":1421},[165],{"categories":1423},[],{"categories":1425},[157],{"categories":1427},[157],{"categories":1429},[157],{"categories":1431},[157],{"categories":1433},[157],{"categories":1435},[170],{"categories":1437},[160],{"categories":1439},[165],{"categories":1441},[157],{"categories":1443},[170],{"categories":1445},[206],{"categories":1447},[170],{"categories":1449},[195],{"categories":1451},[287],{"categories":1453},[157],{"categories":1455},[170],{"categories":1457},[157],{"categories":1459},[157],{"categories":1461},[157],{"categories":1463},[],{"categories":1465},[258],{"categories":1467},[],{"categories":1469},[157],{"categories":1471},[157],{"categories":1473},[],{"categories":1475},[157],{"categories":1477},[184],{"categories":1479},[165],{"categories":1481},[1482],"Visual & Generative Media",{"categories":1484},[170],{"categories":1486},[],{"categories":1488},[157],{"categories":1490},[157],{"categories":1492},[184],{"categories":1494},[328],{"categories":1496},[157],{"categories":1498},[209],{"categories":1500},[606],{"categories":1502},[184],{"categories":1504},[287],{"categories":1506},[157],{"categories":1508},[258],{"categories":1510},[157],{"categories":1512},[157],{"categories":1514},[184],{"categories":1516},[170],{"categories":1518},[157],{"categories":1520},[],{"categories":1522},[],{"categories":1524},[170],{"categories":1526},[184],{"categories":1528},[160],{"categories":1530},[170],{"categories":1532},[560],{"categories":1534},[157],{"categories":1536},[173],{"categories":1538},[157],{"categories":1540},[165],{"categories":1542},[],{"categories":1544},[157],{"categories":1546},[173],{"categories":1548},[157],{"categories":1550},[157],{"categories":1552},[157],{"categories":1554},[173],{"categories":1556},[157],{"categories":1558},[157],{"categories":1560},[287],{"categories":1562},[157],{"categories":1564},[501],{"categories":1566},[157],{"categories":1568},[170],{"categories":1570},[157],{"categories":1572},[157],{"categories":1574},[157],{"categories":1576},[157],{"categories":1578},[258],{"categories":1580},[170],{"categories":1582},[],{"categories":1584},[170],{"categories":1586},[],{"categories":1588},[328],{"categories":1590},[184],{"categories":1592},[],{"categories":1594},[560],{"categories":1596},[157],{"categories":1598},[170],{"categories":1600},[170],{"categories":1602},[157],{"categories":1604},[258,157],{"categories":1606},[160],{"categories":1608},[157],{"categories":1610},[258],{"categories":1612},[],{"categories":1614},[157],{"categories":1616},[160],{"categories":1618},[157],{"categories":1620},[1621],"Medical Imaging & Radiology",{"categories":1623},[157],{"categories":1625},[157],{"categories":1627},[157],{"categories":1629},[258],{"categories":1631},[170],{"categories":1633},[184],{"categories":1635},[],{"categories":1637},[157],{"categories":1639},[157],{"categories":1641},[157],{"categories":1643},[],{"categories":1645},[],{"categories":1647},[157],{"categories":1649},[157],{"categories":1651},[501],{"categories":1653},[157],{"categories":1655},[160],{"categories":1657},[157],{"categories":1659},[157],{"categories":1661},[],{"categories":1663},[170],{"categories":1665},[157],{"categories":1667},[173],{"categories":1669},[184],{"categories":1671},[157],{"categories":1673},[170],{"categories":1675},[501],{"categories":1677},[157],{"categories":1679},[170],{"categories":1681},[157],{"categories":1683},[157],{"categories":1685},[157],{"categories":1687},[258],{"categories":1689},[170],{"categories":1691},[328],{"categories":1693},[258],{"categories":1695},[165],{"categories":1697},[170],{"categories":1699},[206],{"categories":1701},[157],{"categories":1703},[157],{"categories":1705},[173],{"categories":1707},[157],{"categories":1709},[157],{"categories":1711},[157],{"categories":1713},[157],{"categories":1715},[170],{"categories":1717},[157],{"categories":1719},[184],{"categories":1721},[184],{"categories":1723},[157],{"categories":1725},[173],{"categories":1727},[],{"categories":1729},[206],{"categories":1731},[],{"categories":1733},[173],{"categories":1735},[170],{"categories":1737},[157],{"categories":1739},[170],{"categories":1741},[1281],{"categories":1743},[1281],{"categories":1745},[258],{"categories":1747},[157],{"categories":1749},[157],{"categories":1751},[157],{"categories":1753},[170],{"categories":1755},[184],{"categories":1757},[258],{"categories":1759},[170],{"categories":1761},[206],{"categories":1763},[],{"categories":1765},[157],{"categories":1767},[],{"categories":1769},[157],{"categories":1771},[157],{"categories":1773},[157],{"categories":1775},[157],{"categories":1777},[170],{"categories":1779},[1780],"Contract Review & E-Discovery",{"categories":1782},[157],{"categories":1784},[258],{"categories":1786},[157],{"categories":1788},[160],{"categories":1790},[157],{"categories":1792},[206],{"categories":1794},[157],{"categories":1796},[157],{"categories":1798},[287],{"categories":1800},[184],{"categories":1802},[157],{"categories":1804},[157],{"categories":1806},[170],{"categories":1808},[170],{"categories":1810},[929],{"categories":1812},[157],{"categories":1814},[157],{"categories":1816},[170],{"categories":1818},[170],{"categories":1820},[157],{"categories":1822},[157],{"categories":1824},[157],{"categories":1826},[170],{"categories":1828},[157],{"categories":1830},[157],{"categories":1832},[501],{"categories":1834},[478],{"categories":1836},[157],{"categories":1838},[170],{"categories":1840},[157],{"categories":1842},[1843],"Law-Firm Practice & Adoption",{"categories":1845},[157],{"categories":1847},[170],{"categories":1849},[258],{"categories":1851},[157],{"categories":1853},[157],{"categories":1855},[157],{"categories":1857},[],{"categories":1859},[],{"categories":1861},[184],{"categories":1863},[157],{"categories":1865},[],{"categories":1867},[170],{"categories":1869},[160],{"categories":1871},[328],{"categories":1873},[157],{"categories":1875},[],{"categories":1877},[160],{"categories":1879},[165],{"categories":1881},[157],{"categories":1883},[287],{"categories":1885},[],{"categories":1887},[165],{"categories":1889},[170],{"categories":1891},[165],{"categories":1893},[],{"categories":1895},[157],{"categories":1897},[173],{"categories":1899},[157],{"categories":1901},[184],{"categories":1903},[],{"categories":1905},[],{"categories":1907},[],{"categories":1909},[],{"categories":1911},[157],{"categories":1913},[173],{"categories":1915},[170],{"categories":1917},[328],{"categories":1919},[157],{"categories":1921},[160],{"categories":1923},[184],{"categories":1925},[157],{"categories":1927},[157],{"categories":1929},[184],{"categories":1931},[173],{"categories":1933},[157],{"categories":1935},[157],{"categories":1937},[157],{"categories":1939},[956],{"categories":1941},[157],{"categories":1943},[184],{"categories":1945},[157],{"categories":1947},[287],{"categories":1949},[184],{"categories":1951},[165],{"categories":1953},[157],{"categories":1955},[157],{"categories":1957},[157],{"categories":1959},[258],{"categories":1961},[157],{"categories":1963},[157],{"categories":1965},[157],{"categories":1967},[157],{"categories":1969},[165],{"categories":1971},[170],{"categories":1973},[157,160],{"categories":1975},[501],{"categories":1977},[157],{"categories":1979},[157],{"categories":1981},[184],{"categories":1983},[184],{"categories":1985},[258],{"categories":1987},[170],{"categories":1989},[170],{"categories":1991},[184],{"categories":1993},[157],{"categories":1995},[157],{"categories":1997},[157],{"categories":1999},[],{"categories":2001},[],{"categories":2003},[157],{"categories":2005},[209],{"categories":2007},[157],{"categories":2009},[170],{"categories":2011},[],{"categories":2013},[157],{"categories":2015},[157],{"categories":2017},[184],{"categories":2019},[209],{"categories":2021},[206],{"categories":2023},[258],{"categories":2025},[157],{"categories":2027},[170],{"categories":2029},[157],{"categories":2031},[184],{"categories":2033},[],{"categories":2035},[170],{"categories":2037},[157],{"categories":2039},[157],{"categories":2041},[157],{"categories":2043},[157],{"categories":2045},[],{"categories":2047},[170],{"categories":2049},[157],{"categories":2051},[157],{"categories":2053},[157],{"categories":2055},[],{"categories":2057},[170],{"categories":2059},[157],{"categories":2061},[157],{"categories":2063},[165],{"categories":2065},[157],{"categories":2067},[157],{"categories":2069},[],{"categories":2071},[160],{"categories":2073},[157],{"categories":2075},[157],{"categories":2077},[157],{"categories":2079},[258],{"categories":2081},[157],{"categories":2083},[184],{"categories":2085},[157],{"categories":2087},[160],{"categories":2089},[157],{"categories":2091},[184],{"categories":2093},[287],{"categories":2095},[170],{"categories":2097},[170],{"categories":2099},[157],{"categories":2101},[157],{"categories":2103},[157,258],{"categories":2105},[157],{"categories":2107},[170],{"categories":2109},[206],{"categories":2111},[157],{"categories":2113},[206],{"categories":2115},[170],{"categories":2117},[258],{"categories":2119},[157],{"categories":2121},[],{"categories":2123},[184],{"categories":2125},[328],{"categories":2127},[258],{"categories":2129},[184],{"categories":2131},[157],{"categories":2133},[173],{"categories":2135},[157],{"categories":2137},[157],{"categories":2139},[170],{"categories":2141},[],{"categories":2143},[],{"categories":2145},[157],{"categories":2147},[],{"categories":2149},[],{"categories":2151},[173],{"categories":2153},[184],{"categories":2155},[157],{"categories":2157},[170],{"categories":2159},[170],{"categories":2161},[165],{"categories":2163},[170],{"categories":2165},[328],{"categories":2167},[157],{"categories":2169},[157],{"categories":2171},[157],{"categories":2173},[195],{"categories":2175},[157],{"categories":2177},[157],{"categories":2179},[157],{"categories":2181},[184],{"categories":2183},[170],{"categories":2185},[157],{"categories":2187},[157],{"categories":2189},[184],{"categories":2191},[445],{"categories":2193},[170],{"categories":2195},[929],{"categories":2197},[],{"categories":2199},[258],{"categories":2201},[1843],{"categories":2203},[184],{"categories":2205},[],{"categories":2207},[],{"categories":2209},[157],{"categories":2211},[170],{"categories":2213},[],{"categories":2215},[],{"categories":2217},[157],{"categories":2219},[287],{"categories":2221},[157],{"categories":2223},[287],{"categories":2225},[170],{"categories":2227},[157],{"categories":2229},[157],{"categories":2231},[184],{"categories":2233},[173],{"categories":2235},[],{"categories":2237},[157],{"categories":2239},[157],{"categories":2241},[184],{"categories":2243},[1780],{"categories":2245},[258],{"categories":2247},[258],{"categories":2249},[157],{"categories":2251},[170],{"categories":2253},[160],{"categories":2255},[157],{"categories":2257},[157],{"categories":2259},[157],{"categories":2261},[157],{"categories":2263},[258],{"categories":2265},[258],{"categories":2267},[170],{"categories":2269},[170],{"categories":2271},[170],{"categories":2273},[157],{"categories":2275},[157],{"categories":2277},[],{"categories":2279},[157],{"categories":2281},[],{"categories":2283},[2284],"Interaction & Product Design",{"categories":2286},[157],{"categories":2288},[170],{"categories":2290},[184],{"categories":2292},[357],{"categories":2294},[206],{"categories":2296},[184],{"categories":2298},[157],{"categories":2300},[157],{"categories":2302},[157],{"categories":2304},[184],{"categories":2306},[157],{"categories":2308},[160],{"categories":2310},[170],{"categories":2312},[157],{"categories":2314},[],{"categories":2316},[170],{"categories":2318},[170],{"categories":2320},[170],{"categories":2322},[],{"categories":2324},[184],{"categories":2326},[157],{"categories":2328},[170],{"categories":2330},[160],{"categories":2332},[2284],{"categories":2334},[157],{"categories":2336},[160],{"categories":2338},[160],{"categories":2340},[],{"categories":2342},[170],{"categories":2344},[184],{"categories":2346},[],{"categories":2348},[170],{"categories":2350},[206],{"categories":2352},[157],{"categories":2354},[170],{"categories":2356},[157],{"categories":2358},[170],{"categories":2360},[170],{"categories":2362},[157],{"categories":2364},[157],{"categories":2366},[206],{"categories":2368},[209],{"categories":2370},[157],{"categories":2372},[173],{"categories":2374},[184],{"categories":2376},[2377],"Coding Agents & Dev Productivity",{"categories":2379},[206],{"categories":2381},[258],{"categories":2383},[157],{"categories":2385},[157],{"categories":2387},[],{"categories":2389},[157],{"categories":2391},[929],{"categories":2393},[],{"categories":2395},[157],{"categories":2397},[157],{"categories":2399},[328],{"categories":2401},[157],{"categories":2403},[206],{"categories":2405},[],{"categories":2407},[],{"categories":2409},[157],{"categories":2411},[],{"categories":2413},[170],{"categories":2415},[157],{"categories":2417},[],{"categories":2419},[184],{"categories":2421},[184],{"categories":2423},[157],{"categories":2425},[209],{"categories":2427},[],{"categories":2429},[157],{"categories":2431},[157],{"categories":2433},[157],{"categories":2435},[209],{"categories":2437},[184],{"categories":2439},[170],{"categories":2441},[],{"categories":2443},[],{"categories":2445},[157],{"categories":2447},[157],{"categories":2449},[170],{"categories":2451},[170],{"categories":2453},[422],{"categories":2455},[184],{"categories":2457},[184],{"categories":2459},[170],{"categories":2461},[206],{"categories":2463},[206],{"categories":2465},[170],{"categories":2467},[170],{"categories":2469},[157],{"categories":2471},[160],{"categories":2473},[2284],{"categories":2475},[173],{"categories":2477},[157,328],{"categories":2479},[209],{"categories":2481},[],{"categories":2483},[258],{"categories":2485},[170],{"categories":2487},[184],{"categories":2489},[160],{"categories":2491},[157],{"categories":2493},[170],{"categories":2495},[2496],"The Designer's Role & Craft",{"categories":2498},[258],{"categories":2500},[],{"categories":2502},[170],{"categories":2504},[157],{"categories":2506},[170],{"categories":2508},[170],{"categories":2510},[157],{"categories":2512},[287],{"categories":2514},[157],{"categories":2516},[184],{"categories":2518},[157],{"categories":2520},[258],{"categories":2522},[157],{"categories":2524},[],{"categories":2526},[170],{"categories":2528},[258],{"categories":2530},[173],{"categories":2532},[157],{"categories":2534},[157],{"categories":2536},[157],{"categories":2538},[2539],"AI UX Patterns",{"categories":2541},[170],{"categories":2543},[170],{"categories":2545},[170],{"categories":2547},[170],{"categories":2549},[287],{"categories":2551},[209],{"categories":2553},[157],{"categories":2555},[170],{"categories":2557},[157],{"categories":2559},[1281],{"categories":2561},[],{"categories":2563},[287],{"categories":2565},[170],{"categories":2567},[206],{"categories":2569},[184],{"categories":2571},[157],{"categories":2573},[170],{"categories":2575},[],{"categories":2577},[],{"categories":2579},[157],{"categories":2581},[157],{"categories":2583},[170],{"categories":2585},[157],{"categories":2587},[170],{"categories":2589},[422],{"categories":2591},[258],{"categories":2593},[157],{"categories":2595},[206],{"categories":2597},[184],{"categories":2599},[157],{"categories":2601},[170],{"categories":2603},[170],{"categories":2605},[],{"categories":2607},[157],{"categories":2609},[],{"categories":2611},[157],{"categories":2613},[],{"categories":2615},[157],{"categories":2617},[157],{"categories":2619},[157],{"categories":2621},[170],{"categories":2623},[184],{"categories":2625},[],{"categories":2627},[],{"categories":2629},[209],{"categories":2631},[195],{"categories":2633},[157],{"categories":2635},[157],{"categories":2637},[157],{"categories":2639},[209],{"categories":2641},[157],{"categories":2643},[157],{"categories":2645},[206],{"categories":2647},[157],{"categories":2649},[157],{"categories":2651},[157],{"categories":2653},[170],{"categories":2655},[157],{"categories":2657},[170],{"categories":2659},[157],{"categories":2661},[157],{"categories":2663},[157],{"categories":2665},[170],{"categories":2667},[],{"categories":2669},[157],{"categories":2671},[],{"categories":2673},[157],{"categories":2675},[157],{"categories":2677},[328],{"categories":2679},[157],{"categories":2681},[],{"categories":2683},[],{"categories":2685},[258],{"categories":2687},[956],{"categories":2689},[170],{"categories":2691},[160],{"categories":2693},[2496],{"categories":2695},[],{"categories":2697},[],{"categories":2699},[157],{"categories":2701},[],{"categories":2703},[],{"categories":2705},[184],{"categories":2707},[206],{"categories":2709},[287],{"categories":2711},[170],{"categories":2713},[165],{"categories":2715},[157],{"categories":2717},[157],{"categories":2719},[165],{"categories":2721},[],{"categories":2723},[258],{"categories":2725},[173],{"categories":2727},[157],{"categories":2729},[157],{"categories":2731},[170],{"categories":2733},[165],{"categories":2735},[157],{"categories":2737},[157],{"categories":2739},[160],{"categories":2741},[157],{"categories":2743},[157],{"categories":2745},[],{"categories":2747},[160],{"categories":2749},[157],{"categories":2751},[287],{"categories":2753},[170],{"categories":2755},[206],{"categories":2757},[157],{"categories":2759},[184],{"categories":2761},[157],{"categories":2763},[157],{"categories":2765},[165],{"categories":2767},[157],{"categories":2769},[157],{"categories":2771},[157],{"categories":2773},[170],{"categories":2775},[157],{"categories":2777},[],{"categories":2779},[157],{"categories":2781},[184],{"categories":2783},[160],{"categories":2785},[157],{"categories":2787},[157],{"categories":2789},[157],{"categories":2791},[],{"categories":2793},[157],{"categories":2795},[501],{"categories":2797},[170],{"categories":2799},[165],{"categories":2801},[206],{"categories":2803},[157],{"categories":2805},[157],{"categories":2807},[],{"categories":2809},[165],{"categories":2811},[165],{"categories":2813},[157],{"categories":2815},[157],{"categories":2817},[173],{"categories":2819},[157],{"categories":2821},[157],{"categories":2823},[157],{"categories":2825},[157],{"categories":2827},[184],{"categories":2829},[184],{"categories":2831},[157],{"categories":2833},[],{"categories":2835},[184],{"categories":2837},[157],{"categories":2839},[184],{"categories":2841},[170],{"categories":2843},[606],{"categories":2845},[],{"categories":2847},[],{"categories":2849},[157],{"categories":2851},[206],{"categories":2853},[],{"categories":2855},[328],{"categories":2857},[157],{"categories":2859},[157],{"categories":2861},[157],{"categories":2863},[258],{"categories":2865},[918],{"categories":2867},[],{"categories":2869},[157],{"categories":2871},[157],{"categories":2873},[157],{"categories":2875},[184],{"categories":2877},[157],{"categories":2879},[157],{"categories":2881},[157,328],{"categories":2883},[157],{"categories":2885},[157],{"categories":2887},[258],{"categories":2889},[170],{"categories":2891},[],{"categories":2893},[170],{"categories":2895},[170],{"categories":2897},[157],{"categories":2899},[157],{"categories":2901},[157],{"categories":2903},[157],{"categories":2905},[209],{"categories":2907},[157],{"categories":2909},[2539],{"categories":2911},[160],{"categories":2913},[209],{"categories":2915},[160],{"categories":2917},[184],{"categories":2919},[258],{"categories":2921},[170],{"categories":2923},[157],{"categories":2925},[],{"categories":2927},[165],{"categories":2929},[157],{"categories":2931},[157],{"categories":2933},[206],{"categories":2935},[157],{"categories":2937},[157],{"categories":2939},[157],{"categories":2941},[170],{"categories":2943},[157],{"categories":2945},[157],{"categories":2947},[157],{"categories":2949},[165],{"categories":2951},[],{"categories":2953},[328],{"categories":2955},[157],{"categories":2957},[422],{"categories":2959},[258],{"categories":2961},[258],{"categories":2963},[184],{"categories":2965},[170],{"categories":2967},[157],{"categories":2969},[165],{"categories":2971},[206],{"categories":2973},[157],{"categories":2975},[157],{"categories":2977},[157],{"categories":2979},[258],{"categories":2981},[170],{"categories":2983},[170],{"categories":2985},[157],{"categories":2987},[157],{"categories":2989},[560],{"categories":2991},[170],{"categories":2993},[],{"categories":2995},[157],{"categories":2997},[157],{"categories":2999},[157],{"categories":3001},[],{"categories":3003},[],{"categories":3005},[157],{"categories":3007},[157],{"categories":3009},[170],{"categories":3011},[157],{"categories":3013},[157],{"categories":3015},[157],{"categories":3017},[184],{"categories":3019},[157],{"categories":3021},[157],{"categories":3023},[170],{"categories":3025},[157],{"categories":3027},[157],{"categories":3029},[157],{"categories":3031},[157],{"categories":3033},[157],{"categories":3035},[],{"categories":3037},[184],{"categories":3039},[209],{"categories":3041},[157],{"categories":3043},[170],{"categories":3045},[170],{"categories":3047},[157],{"categories":3049},[157],{"categories":3051},[],{"categories":3053},[],{"categories":3055},[157],{"categories":3057},[157],{"categories":3059},[157],{"categories":3061},[206],{"categories":3063},[209],{"categories":3065},[],{"categories":3067},[157],{"categories":3069},[258],{"categories":3071},[157],{"categories":3073},[328],{"categories":3075},[1843],{"categories":3077},[206],{"categories":3079},[184],{"categories":3081},[157],{"categories":3083},[184],{"categories":3085},[184],{"categories":3087},[157],{"categories":3089},[157],{"categories":3091},[184],{"categories":3093},[206],{"categories":3095},[206],{"categories":3097},[328],{"categories":3099},[170],{"categories":3101},[],{"categories":3103},[206],{"categories":3105},[157],{"categories":3107},[170],{"categories":3109},[160],{"categories":3111},[184],{"categories":3113},[157],{"categories":3115},[206],{"categories":3117},[],{"categories":3119},[157],{"categories":3121},[184],{"categories":3123},[184],{"categories":3125},[209],{"categories":3127},[157],{"categories":3129},[206],{"categories":3131},[157],{"categories":3133},[184],{"categories":3135},[170],{"categories":3137},[170],{"categories":3139},[206],{"categories":3141},[170],{"categories":3143},[328],{"categories":3145},[170],{"categories":3147},[157],{"categories":3149},[157],{"categories":3151},[157],{"categories":3153},[157],{"categories":3155},[184],{"categories":3157},[157],{"categories":3159},[],{"categories":3161},[170],{"categories":3163},[165],{"categories":3165},[184],{"categories":3167},[],{"categories":3169},[],{"categories":3171},[157],{"categories":3173},[170],{"categories":3175},[157],{"categories":3177},[157],{"categories":3179},[3180],"Frameworks & Tooling",{"categories":3182},[157],{"categories":3184},[157],{"categories":3186},[184],{"categories":3188},[157],{"categories":3190},[157],{"categories":3192},[],{"categories":3194},[209],{"categories":3196},[209],{"categories":3198},[160],{"categories":3200},[157],{"categories":3202},[170],{"categories":3204},[157],{"categories":3206},[258],{"categories":3208},[],{"categories":3210},[1843],{"categories":3212},[157],{"categories":3214},[184],{"categories":3216},[157],{"categories":3218},[328],{"categories":3220},[328],{"categories":3222},[],{"categories":3224},[170],{"categories":3226},[170],{"categories":3228},[157],{"categories":3230},[157],{"categories":3232},[206],{"categories":3234},[170],{"categories":3236},[206],{"categories":3238},[157],{"categories":3240},[170],{"categories":3242},[],{"categories":3244},[258],{"categories":3246},[157],{"categories":3248},[157],{"categories":3250},[],{"categories":3252},[157],{"categories":3254},[170],{"categories":3256},[157],{"categories":3258},[157],{"categories":3260},[157],{"categories":3262},[],{"categories":3264},[184],{"categories":3266},[157],{"categories":3268},[184],{"categories":3270},[328],{"categories":3272},[157],{"categories":3274},[157],{"categories":3276},[157],{"categories":3278},[184],{"categories":3280},[165],{"categories":3282},[157],{"categories":3284},[1843],{"categories":3286},[],{"categories":3288},[170],{"categories":3290},[160],{"categories":3292},[157],{"categories":3294},[160],{"categories":3296},[157],{"categories":3298},[],{"categories":3300},[170],{"categories":3302},[157],{"categories":3304},[157],{"categories":3306},[3307],"AI Design Tooling",{"categories":3309},[258],{"categories":3311},[157],{"categories":3313},[157],{"categories":3315},[184],{"categories":3317},[258],{"categories":3319},[157],{"categories":3321},[157],{"categories":3323},[184],{"categories":3325},[206],{"categories":3327},[173],{"categories":3329},[184],{"categories":3331},[157],{"categories":3333},[157],{"categories":3335},[157],{"categories":3337},[170],{"categories":3339},[157],{"categories":3341},[],{"categories":3343},[170],{"categories":3345},[157],{"categories":3347},[157],{"categories":3349},[170],{"categories":3351},[157],{"categories":3353},[157],{"categories":3355},[157],{"categories":3357},[170],{"categories":3359},[],{"categories":3361},[170],{"categories":3363},[3180],{"categories":3365},[157],{"categories":3367},[157],{"categories":3369},[170],{"categories":3371},[170],{"categories":3373},[184],{"categories":3375},[184],{"categories":3377},[157],{"categories":3379},[],{"categories":3381},[184],{"categories":3383},[157],{"categories":3385},[157],{"categories":3387},[170],{"categories":3389},[165],{"categories":3391},[157],{"categories":3393},[],{"categories":3395},[157],{"categories":3397},[157],{"categories":3399},[2284],{"categories":3401},[],{"categories":3403},[157],{"categories":3405},[157],{"categories":3407},[157],{"categories":3409},[157],{"categories":3411},[258],{"categories":3413},[157],{"categories":3415},[],{"categories":3417},[157],{"categories":3419},[157],{"categories":3421},[157],{"categories":3423},[157],{"categories":3425},[287],{"categories":3427},[206],{"categories":3429},[157],{"categories":3431},[157],{"categories":3433},[1843],{"categories":3435},[160],{"categories":3437},[157],{"categories":3439},[157],{"categories":3441},[209],{"categories":3443},[157],{"categories":3445},[157],{"categories":3447},[206],{"categories":3449},[170],{"categories":3451},[],{"categories":3453},[157],{"categories":3455},[157],{"categories":3457},[258],{"categories":3459},[157],{"categories":3461},[287],{"categories":3463},[170],{"categories":3465},[157],{"categories":3467},[170],{"categories":3469},[],{"categories":3471},[],{"categories":3473},[],{"categories":3475},[160],{"categories":3477},[206],{"categories":3479},[170],{"categories":3481},[157],{"categories":3483},[157],{"categories":3485},[157],{"categories":3487},[157],{"categories":3489},[445],{"categories":3491},[258],{"categories":3493},[170],{"categories":3495},[157],{"categories":3497},[],{"categories":3499},[170],{"categories":3501},[170],{"categories":3503},[],{"categories":3505},[157],{"categories":3507},[170],{"categories":3509},[157],{"categories":3511},[],{"categories":3513},[157],{"categories":3515},[157],{"categories":3517},[157],{"categories":3519},[206],{"categories":3521},[258],{"categories":3523},[170],{"categories":3525},[258],{"categories":3527},[170],{"categories":3529},[157],{"categories":3531},[165],{"categories":3533},[],{"categories":3535},[],{"categories":3537},[157],{"categories":3539},[157],{"categories":3541},[157],{"categories":3543},[160],{"categories":3545},[170],{"categories":3547},[206],{"categories":3549},[],{"categories":3551},[258],{"categories":3553},[],{"categories":3555},[184],{"categories":3557},[157],{"categories":3559},[184],{"categories":3561},[258],{"categories":3563},[184],{"categories":3565},[157],{"categories":3567},[],{"categories":3569},[157],{"categories":3571},[157],{"categories":3573},[],{"categories":3575},[157],{"categories":3577},[157],{"categories":3579},[287],{"categories":3581},[157],{"categories":3583},[157],{"categories":3585},[328],{"categories":3587},[184],{"categories":3589},[157],{"categories":3591},[],{"categories":3593},[170],{"categories":3595},[157],{"categories":3597},[160],{"categories":3599},[560],{"categories":3601},[157],{"categories":3603},[157],{"categories":3605},[170],{"categories":3607},[157],{"categories":3609},[170],{"categories":3611},[157],{"categories":3613},[157],{"categories":3615},[157],{"categories":3617},[157],{"categories":3619},[],{"categories":3621},[157],{"categories":3623},[160],{"categories":3625},[157],{"categories":3627},[165],{"categories":3629},[184],{"categories":3631},[258],{"categories":3633},[],{"categories":3635},[157],{"categories":3637},[],{"categories":3639},[170],{"categories":3641},[157],{"categories":3643},[],{"categories":3645},[170],{"categories":3647},[157],{"categories":3649},[184],{"categories":3651},[258],{"categories":3653},[206],{"categories":3655},[157],{"categories":3657},[206],{"categories":3659},[170],{"categories":3661},[258],{"categories":3663},[157],{"categories":3665},[],{"categories":3667},[157],{"categories":3669},[195],{"categories":3671},[170],{"categories":3673},[157],{"categories":3675},[258],{"categories":3677},[206],{"categories":3679},[165],{"categories":3681},[184],{"categories":3683},[157],{"categories":3685},[157],{"categories":3687},[157],{"categories":3689},[157],{"categories":3691},[206],{"categories":3693},[287],{"categories":3695},[],{"categories":3697},[],{"categories":3699},[209],{"categories":3701},[501],{"categories":3703},[157],{"categories":3705},[170],{"categories":3707},[157,184],{"categories":3709},[206],{"categories":3711},[157],{"categories":3713},[157],{"categories":3715},[157],{"categories":3717},[157],{"categories":3719},[157],{"categories":3721},[157],{"categories":3723},[157],{"categories":3725},[170],{"categories":3727},[157],{"categories":3729},[170],{"categories":3731},[157],{"categories":3733},[157],{"categories":3735},[157],{"categories":3737},[],{"categories":3739},[157],{"categories":3741},[1281],{"categories":3743},[184],{"categories":3745},[258],{"categories":3747},[157],{"categories":3749},[157],{"categories":3751},[157],{"categories":3753},[209],{"categories":3755},[170],{"categories":3757},[287],{"categories":3759},[328],{"categories":3761},[],{"categories":3763},[184],{"categories":3765},[157],{"categories":3767},[165],{"categories":3769},[170],{"categories":3771},[160],{"categories":3773},[170],{"categories":3775},[157],{"categories":3777},[170],{"categories":3779},[170],{"categories":3781},[173],{"categories":3783},[184],{"categories":3785},[157],{"categories":3787},[157],{"categories":3789},[],{"categories":3791},[],{"categories":3793},[],{"categories":3795},[328],{"categories":3797},[157],{"categories":3799},[206],{"categories":3801},[157],{"categories":3803},[157],{"categories":3805},[157],{"categories":3807},[157],{"categories":3809},[],{"categories":3811},[157],{"categories":3813},[209],{"categories":3815},[165],{"categories":3817},[170],{"categories":3819},[157],{"categories":3821},[],{"categories":3823},[157],{"categories":3825},[170],{"categories":3827},[157],{"categories":3829},[328],{"categories":3831},[],{"categories":3833},[258],{"categories":3835},[258],{"categories":3837},[157],{"categories":3839},[170],{"categories":3841},[],{"categories":3843},[184],{"categories":3845},[157],{"categories":3847},[258],{"categories":3849},[157],{"categories":3851},[165],{"categories":3853},[170],{"categories":3855},[157],{"categories":3857},[],{"categories":3859},[206],{"categories":3861},[157],{"categories":3863},[157],{"categories":3865},[157],{"categories":3867},[258],{"categories":3869},[170],{"categories":3871},[206],{"categories":3873},[],{"categories":3875},[170],{"categories":3877},[165],{"categories":3879},[170],{"categories":3881},[258],{"categories":3883},[157],{"categories":3885},[157],{"categories":3887},[157],{"categories":3889},[501],{"categories":3891},[157],{"categories":3893},[170],{"categories":3895},[],{"categories":3897},[157],{"categories":3899},[157],{"categories":3901},[328],{"categories":3903},[206],{"categories":3905},[209],{"categories":3907},[606],{"categories":3909},[209],{"categories":3911},[209],{"categories":3913},[157],{"categories":3915},[],{"categories":3917},[],{"categories":3919},[],{"categories":3921},[170],{"categories":3923},[157],{"categories":3925},[170],{"categories":3927},[170],{"categories":3929},[184],{"categories":3931},[157],{"categories":3933},[478],{"categories":3935},[184],{"categories":3937},[170],{"categories":3939},[157],{"categories":3941},[157],{"categories":3943},[157],{"categories":3945},[157],{"categories":3947},[157],{"categories":3949},[170],{"categories":3951},[157],{"categories":3953},[],{"categories":3955},[],{"categories":3957},[157],{"categories":3959},[],{"categories":3961},[157],{"categories":3963},[170],{"categories":3965},[258],{"categories":3967},[157],{"categories":3969},[157],{"categories":3971},[],{"categories":3973},[170],{"categories":3975},[157],{"categories":3977},[157],{"categories":3979},[173],{"categories":3981},[157],{"categories":3983},[258],{"categories":3985},[157],{"categories":3987},[170],{"categories":3989},[165],{"categories":3991},[157],{"categories":3993},[157],{"categories":3995},[287],{"categories":3997},[170],{"categories":3999},[157],{"categories":4001},[157],{"categories":4003},[918],{"categories":4005},[157],{"categories":4007},[170],{"categories":4009},[157],{"categories":4011},[184],{"categories":4013},[157],{"categories":4015},[560],{"categories":4017},[258],{"categories":4019},[],{"categories":4021},[157],{"categories":4023},[157],{"categories":4025},[206],{"categories":4027},[501],{"categories":4029},[170],{"categories":4031},[157],{"categories":4033},[],{"categories":4035},[206],{"categories":4037},[422],{"categories":4039},[170],{"categories":4041},[170],{"categories":4043},[170],{"categories":4045},[157],{"categories":4047},[157],{"categories":4049},[170],{"categories":4051},[],{"categories":4053},[165],{"categories":4055},[157],{"categories":4057},[165],{"categories":4059},[170],{"categories":4061},[],{"categories":4063},[184],{"categories":4065},[157],{"categories":4067},[157],{"categories":4069},[160],{"categories":4071},[157],{"categories":4073},[206],{"categories":4075},[328],{"categories":4077},[195],{"categories":4079},[170],{"categories":4081},[170],{"categories":4083},[157],{"categories":4085},[157],{"categories":4087},[170],{"categories":4089},[157],{"categories":4091},[160],{"categories":4093},[],{"categories":4095},[170],{"categories":4097},[157],{"categories":4099},[157],{"categories":4101},[157],{"categories":4103},[170],{"categories":4105},[157],{"categories":4107},[],{"categories":4109},[157],{"categories":4111},[],{"categories":4113},[258],{"categories":4115},[170],{"categories":4117},[157,165],{"categories":4119},[170],{"categories":4121},[157],{"categories":4123},[],{"categories":4125},[160],{"categories":4127},[209],{"categories":4129},[165],{"categories":4131},[157],{"categories":4133},[184],{"categories":4135},[157],{"categories":4137},[157],{"categories":4139},[170],{"categories":4141},[157],{"categories":4143},[157],{"categories":4145},[157],{"categories":4147},[206],{"categories":4149},[1281],{"categories":4151},[170],{"categories":4153},[157],{"categories":4155},[],{"categories":4157},[],{"categories":4159},[157],{"categories":4161},[170],{"categories":4163},[157],{"categories":4165},[157],{"categories":4167},[328],{"categories":4169},[],{"categories":4171},[157],{"categories":4173},[170],{"categories":4175},[195],{"categories":4177},[170],{"categories":4179},[501],{"categories":4181},[],{"categories":4183},[445],{"categories":4185},[170],{"categories":4187},[157],{"categories":4189},[157],{"categories":4191},[287],{"categories":4193},[170],{"categories":4195},[157],{"categories":4197},[209],{"categories":4199},[173],{"categories":4201},[170],{"categories":4203},[157],{"categories":4205},[501],{"categories":4207},[157],{"categories":4209},[328],{"categories":4211},[165],{"categories":4213},[],{"categories":4215},[157],{"categories":4217},[157],{"categories":4219},[287],{"categories":4221},[258],{"categories":4223},[157],{"categories":4225},[157],{"categories":4227},[157],{"categories":4229},[],{"categories":4231},[287],{"categories":4233},[206],{"categories":4235},[157],{"categories":4237},[157],{"categories":4239},[157],{"categories":4241},[606],{"categories":4243},[160],{"categories":4245},[157],{"categories":4247},[173],{"categories":4249},[157],{"categories":4251},[],{"categories":4253},[],{"categories":4255},[258],{"categories":4257},[157],{"categories":4259},[209],{"categories":4261},[287],{"categories":4263},[170],{"categories":4265},[157],{"categories":4267},[157],{"categories":4269},[287],{"categories":4271},[206],{"categories":4273},[157],{"categories":4275},[],{"categories":4277},[157],{"categories":4279},[157],{"categories":4281},[],{"categories":4283},[157],{"categories":4285},[157],{"categories":4287},[631],{"categories":4289},[157],{"categories":4291},[157],{"categories":4293},[170],{"categories":4295},[184],{"categories":4297},[501],{"categories":4299},[157],{"categories":4301},[157],{"categories":4303},[157],{"categories":4305},[],{"categories":4307},[157,184],{"categories":4309},[206],{"categories":4311},[170],{"categories":4313},[184],{"categories":4315},[170],{"categories":4317},[956],{"categories":4319},[184],{"categories":4321},[184],{"categories":4323},[170],{"categories":4325},[157],{"categories":4327},[160],{"categories":4329},[],{"categories":4331},[],{"categories":4333},[170],{"categories":4335},[157],{"categories":4337},[184],{"categories":4339},[157],{"categories":4341},[160],{"categories":4343},[184],{"categories":4345},[184],{"categories":4347},[157],{"categories":4349},[287],{"categories":4351},[157],{"categories":4353},[184],{"categories":4355},[157],{"categories":4357},[],{"categories":4359},[157],{"categories":4361},[157],{"categories":4363},[258,157],{"categories":4365},[328],{"categories":4367},[160],{"categories":4369},[157],{"categories":4371},[],{"categories":4373},[157],{"categories":4375},[157],{"categories":4377},[165],{"categories":4379},[157],{"categories":4381},[165],{"categories":4383},[157],{"categories":4385},[157],{"categories":4387},[422],{"categories":4389},[157],{"categories":4391},[165],{"categories":4393},[184],{"categories":4395},[209],{"categories":4397},[170],{"categories":4399},[157],{"categories":4401},[184],{"categories":4403},[157],{"categories":4405},[157],{"categories":4407},[206],{"categories":4409},[287],{"categories":4411},[258],{"categories":4413},[157],{"categories":4415},[157],{"categories":4417},[157],{"categories":4419},[157],{"categories":4421},[160],{"categories":4423},[157],{"categories":4425},[170],{"categories":4427},[170],{"categories":4429},[184],{"categories":4431},[206],{"categories":4433},[184],{"categories":4435},[184],{"categories":4437},[157],{"categories":4439},[157],{"categories":4441},[],{"categories":4443},[],{"categories":4445},[209],{"categories":4447},[157],{"categories":4449},[184],{"categories":4451},[157],{"categories":4453},[258],{"categories":4455},[501],{"categories":4457},[445],{"categories":4459},[422],{"categories":4461},[157],{"categories":4463},[157],{"categories":4465},[157],{"categories":4467},[209],{"categories":4469},[157],{"categories":4471},[157],{"categories":4473},[157],{"categories":4475},[157],{"categories":4477},[157],{"categories":4479},[157],{"categories":4481},[157],{"categories":4483},[170],{"categories":4485},[160],{"categories":4487},[170],{"categories":4489},[157,165],{"categories":4491},[],{"categories":4493},[258],{"categories":4495},[],{"categories":4497},[173],{"categories":4499},[157],{"categories":4501},[206],{"categories":4503},[160],{"categories":4505},[157],{"categories":4507},[160],{"categories":4509},[170],{"categories":4511},[209],{"categories":4513},[170],{"categories":4515},[173],{"categories":4517},[170],{"categories":4519},[157],{"categories":4521},[157],{"categories":4523},[165],{"categories":4525},[170],{"categories":4527},[184],{"categories":4529},[287],{"categories":4531},[157],{"categories":4533},[157],{"categories":4535},[],{"categories":4537},[206],{"categories":4539},[157],{"categories":4541},[157],{"categories":4543},[157],{"categories":4545},[157],{"categories":4547},[157],{"categories":4549},[157],{"categories":4551},[184],{"categories":4553},[206],{"categories":4555},[184],{"categories":4557},[184],{"categories":4559},[157],{"categories":4561},[157],{"categories":4563},[157],{"categories":4565},[157],{"categories":4567},[445],{"categories":4569},[157],{"categories":4571},[170],{"categories":4573},[206],{"categories":4575},[157],{"categories":4577},[157],{"categories":4579},[157],{"categories":4581},[170],{"categories":4583},[157],{"categories":4585},[157],{"categories":4587},[157],{"categories":4589},[3180],{"categories":4591},[4592],"Clinical AI",{"categories":4594},[258],{"categories":4596},[157],{"categories":4598},[157],{"categories":4600},[157],{"categories":4602},[157],{"categories":4604},[328],{"categories":4606},[2539],{"categories":4608},[157],{"categories":4610},[173],{"categories":4612},[258],{"categories":4614},[157],{"categories":4616},[170],{"categories":4618},[157],{"categories":4620},[157],{"categories":4622},[206],{"categories":4624},[157],{"categories":4626},[170],{"categories":4628},[184],{"categories":4630},[287],{"categories":4632},[157],{"categories":4634},[157],{"categories":4636},[165],{"categories":4638},[157],{"categories":4640},[157],{"categories":4642},[560],{"categories":4644},[157],{"categories":4646},[],{"categories":4648},[170],{"categories":4650},[157],{"categories":4652},[184],{"categories":4654},[160],{"categories":4656},[157],{"categories":4658},[],{"categories":4660},[],{"categories":4662},[157],{"categories":4664},[],{"categories":4666},[165],{"categories":4668},[157],{"categories":4670},[157],{"categories":4672},[170],{"categories":4674},[157],{"categories":4676},[206],{"categories":4678},[206],{"categories":4680},[206],{"categories":4682},[206],{"categories":4684},[],{"categories":4686},[160],{"categories":4688},[170],{"categories":4690},[206],{"categories":4692},[157],{"categories":4694},[631],{"categories":4696},[173],{"categories":4698},[170],{"categories":4700},[157],{"categories":4702},[160],{"categories":4704},[157],{"categories":4706},[170],{"categories":4708},[157],{"categories":4710},[157],{"categories":4712},[157],{"categories":4714},[157,170],{"categories":4716},[170],{"categories":4718},[328],{"categories":4720},[206],{"categories":4722},[170],{"categories":4724},[206],{"categories":4726},[170],{"categories":4728},[157],{"categories":4730},[],{"categories":4732},[206],{"categories":4734},[287],{"categories":4736},[160],{"categories":4738},[157],{"categories":4740},[157],{"categories":4742},[],{"categories":4744},[184],{"categories":4746},[],{"categories":4748},[160],{"categories":4750},[170],{"categories":4752},[206],{"categories":4754},[157],{"categories":4756},[206],{"categories":4758},[160],{"categories":4760},[206],{"categories":4762},[206],{"categories":4764},[],{"categories":4766},[165],{"categories":4768},[170],{"categories":4770},[206],{"categories":4772},[206],{"categories":4774},[206],{"categories":4776},[206],{"categories":4778},[206],{"categories":4780},[206],{"categories":4782},[206],{"categories":4784},[206],{"categories":4786},[206],{"categories":4788},[206],{"categories":4790},[209],{"categories":4792},[160],{"categories":4794},[157],{"categories":4796},[157],{"categories":4798},[170],{"categories":4800},[170],{"categories":4802},[],{"categories":4804},[157],{"categories":4806},[157,160],{"categories":4808},[],{"categories":4810},[170],{"categories":4812},[157],{"categories":4814},[206],{"categories":4816},[170],{"categories":4818},[956],{"categories":4820},[157],{"categories":4822},[157],{"categories":4824},[157],{"categories":4826},[157],{"categories":4828},[157],{"categories":4830},[422],{"categories":4832},[157],{"categories":4834},[157],{"categories":4836},[170],{"categories":4838},[157],{"categories":4840},[157],{"categories":4842},[165],{"categories":4844},[173],{"categories":4846},[170],{"categories":4848},[170],{"categories":4850},[],{"categories":4852},[170],{"categories":4854},[258],{"categories":4856},[206],{"categories":4858},[157],{"categories":4860},[],{"categories":4862},[173],{"categories":4864},[],{"categories":4866},[184],{"categories":4868},[157],{"categories":4870},[170],{"categories":4872},[258],{"categories":4874},[157],{"categories":4876},[],{"categories":4878},[157],{"categories":4880},[157],{"categories":4882},[],{"categories":4884},[287],{"categories":4886},[157],{"categories":4888},[170],{"categories":4890},[],{"categories":4892},[],{"categories":4894},[206],{"categories":4896},[160],{"categories":4898},[157],{"categories":4900},[157],{"categories":4902},[165],{"categories":4904},[157],{"categories":4906},[157],{"categories":4908},[170],{"categories":4910},[157],{"categories":4912},[165],{"categories":4914},[165],{"categories":4916},[258],{"categories":4918},[],{"categories":4920},[157],{"categories":4922},[206],{"categories":4924},[],{"categories":4926},[157],{"categories":4928},[157],{"categories":4930},[258],{"categories":4932},[157],{"categories":4934},[157],{"categories":4936},[287],{"categories":4938},[157],{"categories":4940},[328],{"categories":4942},[],{"categories":4944},[170],{"categories":4946},[157],{"categories":4948},[287],{"categories":4950},[184],{"categories":4952},[],{"categories":4954},[157],{"categories":4956},[],{"categories":4958},[170],{"categories":4960},[258],{"categories":4962},[184],{"categories":4964},[],{"categories":4966},[3180],{"categories":4968},[165],{"categories":4970},[160],{"categories":4972},[157],{"categories":4974},[209],{"categories":4976},[170],{"categories":4978},[258],{"categories":4980},[157],{"categories":4982},[184],{"categories":4984},[],{"categories":4986},[],{"categories":4988},[157],{"categories":4990},[160],{"categories":4992},[157],{"categories":4994},[287],{"categories":4996},[],{"categories":4998},[170],{"categories":5000},[170],{"categories":5002},[157],{"categories":5004},[170],{"categories":5006},[157],{"categories":5008},[206],{"categories":5010},[184],{"categories":5012},[157],{"categories":5014},[170],{"categories":5016},[173],{"categories":5018},[157],{"categories":5020},[157],{"categories":5022},[157],{"categories":5024},[170],{"categories":5026},[157],{"categories":5028},[173],{"categories":5030},[287],{"categories":5032},[206],{"categories":5034},[],{"categories":5036},[287],{"categories":5038},[157],{"categories":5040},[],{"categories":5042},[184],{"categories":5044},[170],{"categories":5046},[],{"categories":5048},[157],{"categories":5050},[157],{"categories":5052},[157],{"categories":5054},[157],{"categories":5056},[157],{"categories":5058},[170],{"categories":5060},[165],{"categories":5062},[160],{"categories":5064},[170],{"categories":5066},[157],{"categories":5068},[258],{"categories":5070},[184],{"categories":5072},[184],{"categories":5074},[157],{"categories":5076},[209],{"categories":5078},[170],{"categories":5080},[157],{"categories":5082},[157],{"categories":5084},[170],{"categories":5086},[157],{"categories":5088},[157],{"categories":5090},[170],{"categories":5092},[165],{"categories":5094},[157],{"categories":5096},[258],{"categories":5098},[184],{"categories":5100},[170],{"categories":5102},[157],{"categories":5104},[173],{"categories":5106},[157],{"categories":5108},[170],{"categories":5110},[157],{"categories":5112},[157],{"categories":5114},[206],{"categories":5116},[157],{"categories":5118},[],{"categories":5120},[160],{"categories":5122},[157],{"categories":5124},[157],{"categories":5126},[157],{"categories":5128},[184],{"categories":5130},[184],{"categories":5132},[157],{"categories":5134},[184],{"categories":5136},[157],{"categories":5138},[170],{"categories":5140},[157],{"categories":5142},[157],{"categories":5144},[157],{"categories":5146},[157],{"categories":5148},[157],{"categories":5150},[],{"categories":5152},[157],{"categories":5154},[258],{"categories":5156},[170],{"categories":5158},[165],{"categories":5160},[206],{"categories":5162},[157],{"categories":5164},[170],{"categories":5166},[157],{"categories":5168},[170],{"categories":5170},[157],{"categories":5172},[157],{"categories":5174},[258],{"categories":5176},[170],{"categories":5178},[157],{"categories":5180},[287],{"categories":5182},[157],{"categories":5184},[209],{"categories":5186},[157],{"categories":5188},[157],{"categories":5190},[206],{"categories":5192},[157],{"categories":5194},[157],{"categories":5196},[157],{"categories":5198},[157],{"categories":5200},[170],{"categories":5202},[328],{"categories":5204},[157],{"categories":5206},[184],{"categories":5208},[170],{"categories":5210},[209],{"categories":5212},[],{"categories":5214},[170],{"categories":5216},[184],{"categories":5218},[157],{"categories":5220},[157],{"categories":5222},[2377],{"categories":5224},[258],{"categories":5226},[357],{"categories":5228},[157],{"categories":5230},[157],{"categories":5232},[157],{"categories":5234},[157],{"categories":5236},[160],{"categories":5238},[157],{"categories":5240},[157],{"categories":5242},[184],{"categories":5244},[165],{"categories":5246},[157],{"categories":5248},[184],{"categories":5250},[157],{"categories":5252},[],{"categories":5254},[170],{"categories":5256},[170],{"categories":5258},[157],{"categories":5260},[157],{"categories":5262},[157],{"categories":5264},[209],{"categories":5266},[],{"categories":5268},[206],{"categories":5270},[],{"categories":5272},[206],{"categories":5274},[157],{"categories":5276},[157],{"categories":5278},[170],{"categories":5280},[157],{"categories":5282},[170],{"categories":5284},[170],{"categories":5286},[],{"categories":5288},[157],{"categories":5290},[206],{"categories":5292},[157],{"categories":5294},[],{"categories":5296},[157],{"categories":5298},[157],{"categories":5300},[],{"categories":5302},[157],{"categories":5304},[157],{"categories":5306},[258],{"categories":5308},[184],{"categories":5310},[170],{"categories":5312},[157],{"categories":5314},[157],{"categories":5316},[157],{"categories":5318},[157],{"categories":5320},[287],{"categories":5322},[157],{"categories":5324},[157],{"categories":5326},[157],{"categories":5328},[160],{"categories":5330},[157],{"categories":5332},[157],{"categories":5334},[],{"categories":5336},[157],{"categories":5338},[157],{"categories":5340},[157],{"categories":5342},[],{"categories":5344},[160],{"categories":5346},[157],{"categories":5348},[157],{"categories":5350},[206],{"categories":5352},[184],{"categories":5354},[173],{"categories":5356},[170],{"categories":5358},[501],{"categories":5360},[157],{"categories":5362},[157],{"categories":5364},[157],{"categories":5366},[184],{"categories":5368},[206],{"categories":5370},[258],{"categories":5372},[157],{"categories":5374},[157],{"categories":5376},[157],{"categories":5378},[157],{"categories":5380},[206],{"categories":5382},[157],{"categories":5384},[258],{"categories":5386},[157],{"categories":5388},[157],{"categories":5390},[206],{"categories":5392},[258],{"categories":5394},[157],{"categories":5396},[206],{"categories":5398},[157],{"categories":5400},[170],{"categories":5402},[170],{"categories":5404},[170],{"categories":5406},[184],{"categories":5408},[206],{"categories":5410},[170],{"categories":5412},[170],{"categories":5414},[157],{"categories":5416},[184],{"categories":5418},[258],{"categories":5420},[157],{"categories":5422},[157],{"categories":5424},[170],{"categories":5426},[157],{"categories":5428},[],{"categories":5430},[170],{"categories":5432},[],{"categories":5434},[157],{"categories":5436},[157],{"categories":5438},[],{"categories":5440},[],{"categories":5442},[170],{"categories":5444},[165],{"categories":5446},[170],{"categories":5448},[5449],"Liability & Ethics",{"categories":5451},[157],{"categories":5453},[157],{"categories":5455},[157],{"categories":5457},[170],{"categories":5459},[160],{"categories":5461},[170],{"categories":5463},[165],{"categories":5465},[287],{"categories":5467},[170],{"categories":5469},[157],{"categories":5471},[157],{"categories":5473},[],{"categories":5475},[606],{"categories":5477},[170],{"categories":5479},[],{"categories":5481},[157],{"categories":5483},[160],{"categories":5485},[170],{"categories":5487},[],{"categories":5489},[170],{"categories":5491},[157],{"categories":5493},[157],{"categories":5495},[184],{"categories":5497},[157],{"categories":5499},[206],{"categories":5501},[157],{"categories":5503},[157],{"categories":5505},[173],{"categories":5507},[170],{"categories":5509},[157],{"categories":5511},[157],{"categories":5513},[157],{"categories":5515},[206],{"categories":5517},[170],{"categories":5519},[184],{"categories":5521},[258],{"categories":5523},[160],{"categories":5525},[157],{"categories":5527},[157],{"categories":5529},[157],{"categories":5531},[],{"categories":5533},[170],{"categories":5535},[170],{"categories":5537},[170],{"categories":5539},[501],{"categories":5541},[258],{"categories":5543},[170],{"categories":5545},[328],{"categories":5547},[184],{"categories":5549},[206],{"categories":5551},[157],{"categories":5553},[258],{"categories":5555},[157],{"categories":5557},[160],{"categories":5559},[],{"categories":5561},[170],{"categories":5563},[157],{"categories":5565},[157],{"categories":5567},[157],{"categories":5569},[157],{"categories":5571},[170],{"categories":5573},[157],{"categories":5575},[157],{"categories":5577},[258],{"categories":5579},[],{"categories":5581},[170],{"categories":5583},[173],{"categories":5585},[206],{"categories":5587},[170],{"categories":5589},[165],{"categories":5591},[],{"categories":5593},[157],{"categories":5595},[157],{"categories":5597},[173],{"categories":5599},[157],{"categories":5601},[170],{"categories":5603},[206],{"categories":5605},[160],{"categories":5607},[328],{"categories":5609},[157],{"categories":5611},[157],{"categories":5613},[157],{"categories":5615},[206],{"categories":5617},[165],{"categories":5619},[157],{"categories":5621},[258],{"categories":5623},[206],{"categories":5625},[328],{"categories":5627},[157],{"categories":5629},[170],{"categories":5631},[],{"categories":5633},[560],{"categories":5635},[],{"categories":5637},[157],{"categories":5639},[328],{"categories":5641},[157],{"categories":5643},[209],{"categories":5645},[157],{"categories":5647},[170],{"categories":5649},[170],{"categories":5651},[5652],"Design News & Tools",{"categories":5654},[157],{"categories":5656},[157],{"categories":5658},[206],{"categories":5660},[157],{"categories":5662},[157],{"categories":5664},[160],{"categories":5666},[170],{"categories":5668},[157],{"categories":5670},[258],{"categories":5672},[170],{"categories":5674},[170],{"categories":5676},[258],{"categories":5678},[157],{"categories":5680},[157],{"categories":5682},[501],{"categories":5684},[170],{"categories":5686},[157],{"categories":5688},[157],{"categories":5690},[501],{"categories":5692},[157],{"categories":5694},[287],{"categories":5696},[157],{"categories":5698},[170],{"categories":5700},[],{"categories":5702},[157],{"categories":5704},[157],{"categories":5706},[157],{"categories":5708},[206],{"categories":5710},[157],{"categories":5712},[160],{"categories":5714},[],{"categories":5716},[157],{"categories":5718},[157],{"categories":5720},[157],{"categories":5722},[184],{"categories":5724},[631],{"categories":5726},[184],{"categories":5728},[258],{"categories":5730},[157],{"categories":5732},[157,170],{"categories":5734},[287,165],{"categories":5736},[184],{"categories":5738},[157],{"categories":5740},[157],{"categories":5742},[157],{"categories":5744},[157],{"categories":5746},[],{"categories":5748},[170],{"categories":5750},[157],{"categories":5752},[],{"categories":5754},[157],{"categories":5756},[184],{"categories":5758},[157],{"categories":5760},[184],{"categories":5762},[],{"categories":5764},[170],{"categories":5766},[157],{"categories":5768},[165],{"categories":5770},[157],{"categories":5772},[206],{"categories":5774},[157],{"categories":5776},[],{"categories":5778},[170],{"categories":5780},[157],{"categories":5782},[],{"categories":5784},[258],{"categories":5786},[157],{"categories":5788},[157],{"categories":5790},[170],{"categories":5792},[157],{"categories":5794},[157],{"categories":5796},[160],{"categories":5798},[170],{"categories":5800},[157],{"categories":5802},[],{"categories":5804},[157],{"categories":5806},[328],{"categories":5808},[287],{"categories":5810},[165],{"categories":5812},[165],{"categories":5814},[157],{"categories":5816},[160],{"categories":5818},[160],{"categories":5820},[157],{"categories":5822},[170],{"categories":5824},[157],{"categories":5826},[157],{"categories":5828},[157],{"categories":5830},[157],{"categories":5832},[184],{"categories":5834},[157],{"categories":5836},[160],{"categories":5838},[157],{"categories":5840},[157],{"categories":5842},[170],{"categories":5844},[157],{"categories":5846},[287],{"categories":5848},[157],{"categories":5850},[206],{"categories":5852},[157],{"categories":5854},[157],{"categories":5856},[170],{"categories":5858},[173],{"categories":5860},[157],{"categories":5862},[157],{"categories":5864},[170],{"categories":5866},[],{"categories":5868},[184],{"categories":5870},[],{"categories":5872},[184],{"categories":5874},[170],{"categories":5876},[160],{"categories":5878},[157],{"categories":5880},[],{"categories":5882},[209],{"categories":5884},[328],{"categories":5886},[157],{"categories":5888},[184],{"categories":5890},[157],{"categories":5892},[],{"categories":5894},[206],{"categories":5896},[170],{"categories":5898},[184],{"categories":5900},[258],{"categories":5902},[165],{"categories":5904},[157],{"categories":5906},[157],{"categories":5908},[170],{"categories":5910},[184],{"categories":5912},[170],{"categories":5914},[206],{"categories":5916},[157],{"categories":5918},[173],{"categories":5920},[160],{"categories":5922},[173],{"categories":5924},[206],{"categories":5926},[157],{"categories":5928},[184],{"categories":5930},[157],{"categories":5932},[258],{"categories":5934},[165],{"categories":5936},[157],{"categories":5938},[157],{"categories":5940},[157],{"categories":5942},[157],{"categories":5944},[157],{"categories":5946},[157],{"categories":5948},[170],{"categories":5950},[157],{"categories":5952},[170],{"categories":5954},[157],{"categories":5956},[157],{"categories":5958},[160],{"categories":5960},[157],{"categories":5962},[170],{"categories":5964},[170],{"categories":5966},[258],{"categories":5968},[170],{"categories":5970},[170],{"categories":5972},[157],{"categories":5974},[160],{"categories":5976},[170],{"categories":5978},[258],{"categories":5980},[],{"categories":5982},[157],{"categories":5984},[209],{"categories":5986},[501],{"categories":5988},[157],{"categories":5990},[170],{"categories":5992},[157],{"categories":5994},[157],{"categories":5996},[184],{"categories":5998},[157],{"categories":6000},[],{"categories":6002},[157],{"categories":6004},[170],{"categories":6006},[157],{"categories":6008},[287],{"categories":6010},[157],{"categories":6012},[184],{"categories":6014},[157],{"categories":6016},[206],{"categories":6018},[170],{"categories":6020},[157],{"categories":6022},[287],{"categories":6024},[170],{"categories":6026},[165],{"categories":6028},[165],{"categories":6030},[157],{"categories":6032},[157],{"categories":6034},[157],{"categories":6036},[157],{"categories":6038},[157],{"categories":6040},[157],{"categories":6042},[160],{"categories":6044},[],{"categories":6046},[157],{"categories":6048},[157],{"categories":6050},[170],{"categories":6052},[170],{"categories":6054},[157],{"categories":6056},[157],{"categories":6058},[157],{"categories":6060},[157],{"categories":6062},[157],{"categories":6064},[184],{"categories":6066},[],{"categories":6068},[160],{"categories":6070},[157],{"categories":6072},[157],{"categories":6074},[170],{"categories":6076},[170],{"categories":6078},[],{"categories":6080},[184],{"categories":6082},[184],{"categories":6084},[157],{"categories":6086},[287],{"categories":6088},[165],{"categories":6090},[258],{"categories":6092},[],{"categories":6094},[157],{"categories":6096},[170],{"categories":6098},[160],{"categories":6100},[157],{"categories":6102},[157],{"categories":6104},[184],{"categories":6106},[160],{"categories":6108},[157],{"categories":6110},[157],{"categories":6112},[206],{"categories":6114},[209],{"categories":6116},[157],{"categories":6118},[206],{"categories":6120},[170],{"categories":6122},[157],{"categories":6124},[],{"categories":6126},[206],{"categories":6128},[170],{"categories":6130},[258],{"categories":6132},[209],{"categories":6134},[157],{"categories":6136},[157],{"categories":6138},[],{"categories":6140},[170],{"categories":6142},[170],{"categories":6144},[170],{"categories":6146},[3180],{"categories":6148},[206],{"categories":6150},[157],{"categories":6152},[184],{"categories":6154},[157],{"categories":6156},[157],{"categories":6158},[157],{"categories":6160},[157],{"categories":6162},[157],{"categories":6164},[165],{"categories":6166},[157],{"categories":6168},[160],{"categories":6170},[1843],{"categories":6172},[328],{"categories":6174},[160],{"categories":6176},[],{"categories":6178},[157],{"categories":6180},[],{"categories":6182},[206],{"categories":6184},[170],{"categories":6186},[258],{"categories":6188},[157],{"categories":6190},[157],{"categories":6192},[157],{"categories":6194},[206],{"categories":6196},[],{"categories":6198},[170],{"categories":6200},[157],{"categories":6202},[170],{"categories":6204},[170],{"categories":6206},[],{"categories":6208},[157],{"categories":6210},[],{"categories":6212},[206],{"categories":6214},[160],{"categories":6216},[258],{"categories":6218},[157],{"categories":6220},[170],{"categories":6222},[206],{"categories":6224},[157],{"categories":6226},[206],{"categories":6228},[],{"categories":6230},[206],{"categories":6232},[157],{"categories":6234},[160],{"categories":6236},[501],{"categories":6238},[170],{"categories":6240},[157],{"categories":6242},[],{"categories":6244},[184],{"categories":6246},[170],{"categories":6248},[173],{"categories":6250},[170],{"categories":6252},[160],{"categories":6254},[157],{"categories":6256},[157],{"categories":6258},[],{"categories":6260},[],{"categories":6262},[],{"categories":6264},[258],{"categories":6266},[157],{"categories":6268},[170],{"categories":6270},[157],{"categories":6272},[157],{"categories":6274},[],{"categories":6276},[],{"categories":6278},[],{"categories":6280},[157],{"categories":6282},[170],{"categories":6284},[258],{"categories":6286},[157],{"categories":6288},[],{"categories":6290},[170],{"categories":6292},[157],{"categories":6294},[157],{"categories":6296},[160],{"categories":6298},[],{"categories":6300},[],{"categories":6302},[157],{"categories":6304},[157],{"categories":6306},[170],{"categories":6308},[258],{"categories":6310},[157],{"categories":6312},[206],{"categories":6314},[],{"categories":6316},[157],{"categories":6318},[157],{"categories":6320},[287],{"categories":6322},[206],{"categories":6324},[287],{"categories":6326},[209],{"categories":6328},[157],{"categories":6330},[157],{"categories":6332},[],{"categories":6334},[],{"categories":6336},[170],{"categories":6338},[],{"categories":6340},[157],{"categories":6342},[501],{"categories":6344},[157],{"categories":6346},[157],{"categories":6348},[157],{"categories":6350},[157],{"categories":6352},[],{"categories":6354},[170],{"categories":6356},[157],{"categories":6358},[157],{"categories":6360},[],{"categories":6362},[170],{"categories":6364},[157],{"categories":6366},[206],{"categories":6368},[157],{"categories":6370},[287],{"categories":6372},[165],{"categories":6374},[173],{"categories":6376},[157],{"categories":6378},[157],{"categories":6380},[170],{"categories":6382},[209],{"categories":6384},[170],{"categories":6386},[170],{"categories":6388},[],{"categories":6390},[157],{"categories":6392},[170],{"categories":6394},[],{"categories":6396},[157],{"categories":6398},[],{"categories":6400},[206],{"categories":6402},[165],{"categories":6404},[],{"categories":6406},[157],{"categories":6408},[157],{"categories":6410},[157],{"categories":6412},[],{"categories":6414},[170],{"categories":6416},[258],{"categories":6418},[160],{"categories":6420},[157],{"categories":6422},[],{"categories":6424},[165],{"categories":6426},[287],{"categories":6428},[157],{"categories":6430},[184],{"categories":6432},[160],{"categories":6434},[209],{"categories":6436},[165],{"categories":6438},[184],{"categories":6440},[170],{"categories":6442},[184],{"categories":6444},[],{"categories":6446},[157],{"categories":6448},[173],{"categories":6450},[157],{"categories":6452},[],{"categories":6454},[170],{"categories":6456},[160],{"categories":6458},[258],{"categories":6460},[157],{"categories":6462},[160],{"categories":6464},[170],{"categories":6466},[328],{"categories":6468},[157],{"categories":6470},[157],{"categories":6472},[157],{"categories":6474},[157],{"categories":6476},[157],{"categories":6478},[160],{"categories":6480},[157],{"categories":6482},[184],{"categories":6484},[209],{"categories":6486},[170],{"categories":6488},[],{"categories":6490},[157],{"categories":6492},[157],{"categories":6494},[157],{"categories":6496},[184],{"categories":6498},[170],{"categories":6500},[206],{"categories":6502},[184],{"categories":6504},[157],{"categories":6506},[173],{"categories":6508},[],{"categories":6510},[258],{"categories":6512},[184],{"categories":6514},[206],{"categories":6516},[157],{"categories":6518},[160],{"categories":6520},[170],{"categories":6522},[157],{"categories":6524},[157],{"categories":6526},[170],{"categories":6528},[173],{"categories":6530},[157],{"categories":6532},[170],{"categories":6534},[157],{"categories":6536},[165],{"categories":6538},[170],{"categories":6540},[170,328],{"categories":6542},[157],{"categories":6544},[157],{"categories":6546},[170],{"categories":6548},[184],{"categories":6550},[157],{"categories":6552},[157],{"categories":6554},[209],{"categories":6556},[170],{"categories":6558},[287],{"categories":6560},[170],{"categories":6562},[165],{"categories":6564},[],{"categories":6566},[170],{"categories":6568},[157],{"categories":6570},[165],{"categories":6572},[],{"categories":6574},[],{"categories":6576},[184],{"categories":6578},[157],{"categories":6580},[157],{"categories":6582},[170],{"categories":6584},[209],{"categories":6586},[287],{"categories":6588},[157],{"categories":6590},[157],{"categories":6592},[157],{"categories":6594},[170],{"categories":6596},[],{"categories":6598},[170],{"categories":6600},[206],{"categories":6602},[157],{"categories":6604},[170],{"categories":6606},[170],{"categories":6608},[157],{"categories":6610},[],{"categories":6612},[206],{"categories":6614},[184],{"categories":6616},[3180],{"categories":6618},[160],{"categories":6620},[184],{"categories":6622},[157],{"categories":6624},[170],{"categories":6626},[157],{"categories":6628},[157],{"categories":6630},[287],{"categories":6632},[184],{"categories":6634},[209],{"categories":6636},[],{"categories":6638},[206],{"categories":6640},[157],{"categories":6642},[157],{"categories":6644},[],{"categories":6646},[170],{"categories":6648},[157],{"categories":6650},[157],{"categories":6652},[157],{"categories":6654},[157],{"categories":6656},[170],{"categories":6658},[157],{"categories":6660},[157],{"categories":6662},[157],{"categories":6664},[173],{"categories":6666},[157],{"categories":6668},[170],{"categories":6670},[157],{"categories":6672},[157],{"categories":6674},[157],{"categories":6676},[157],{"categories":6678},[157],{"categories":6680},[157],{"categories":6682},[157],{"categories":6684},[165],{"categories":6686},[],{"categories":6688},[173],{"categories":6690},[206],{"categories":6692},[170],{"categories":6694},[157],{"categories":6696},[184],{"categories":6698},[],{"categories":6700},[184],{"categories":6702},[184],{"categories":6704},[170],{"categories":6706},[184],{"categories":6708},[157],{"categories":6710},[157],{"categories":6712},[157],{"categories":6714},[170],{"categories":6716},[184],{"categories":6718},[157],{"categories":6720},[157],{"categories":6722},[157],{"categories":6724},[170],{"categories":6726},[206],{"categories":6728},[157],{"categories":6730},[157],{"categories":6732},[157],{"categories":6734},[165],{"categories":6736},[157],{"categories":6738},[170],{"categories":6740},[258],{"categories":6742},[],{"categories":6744},[157],{"categories":6746},[209],{"categories":6748},[170],{"categories":6750},[157],{"categories":6752},[157],{"categories":6754},[],{"categories":6756},[157],{"categories":6758},[157],{"categories":6760},[206],{"categories":6762},[157],{"categories":6764},[157],{"categories":6766},[170],{"categories":6768},[287],{"categories":6770},[],{"categories":6772},[],{"categories":6774},[184],{"categories":6776},[157],{"categories":6778},[157],{"categories":6780},[206],{"categories":6782},[157],{"categories":6784},[184],{"categories":6786},[206],{"categories":6788},[157],{"categories":6790},[157],{"categories":6792},[287],{"categories":6794},[209],{"categories":6796},[157],{"categories":6798},[157],{"categories":6800},[160],{"categories":6802},[170],{"categories":6804},[157],{"categories":6806},[157],{"categories":6808},[170],{"categories":6810},[165],{"categories":6812},[170],{"categories":6814},[184],{"categories":6816},[157],{"categories":6818},[165],{"categories":6820},[],{"categories":6822},[157],{"categories":6824},[209],{"categories":6826},[157],{"categories":6828},[157],{"categories":6830},[],{"categories":6832},[206],{"categories":6834},[157],{"categories":6836},[170],{"categories":6838},[209],{"categories":6840},[157],{"categories":6842},[184],{"categories":6844},[184],{"categories":6846},[184],{"categories":6848},[157],{"categories":6850},[170],{"categories":6852},[170],{"categories":6854},[157],{"categories":6856},[170],{"categories":6858},[157],{"categories":6860},[157],{"categories":6862},[258],{"categories":6864},[209],{"categories":6866},[209],{"categories":6868},[],{"categories":6870},[206],{"categories":6872},[157],{"categories":6874},[157],{"categories":6876},[184],{"categories":6878},[],{"categories":6880},[206],{"categories":6882},[206],{"categories":6884},[206],{"categories":6886},[],{"categories":6888},[170],{"categories":6890},[157],{"categories":6892},[],{"categories":6894},[160],{"categories":6896},[165],{"categories":6898},[],{"categories":6900},[157],{"categories":6902},[157],{"categories":6904},[],{"categories":6906},[184],{"categories":6908},[],{"categories":6910},[],{"categories":6912},[],{"categories":6914},[],{"categories":6916},[157],{"categories":6918},[206],{"categories":6920},[],{"categories":6922},[],{"categories":6924},[157],{"categories":6926},[157],{"categories":6928},[157],{"categories":6930},[209],{"categories":6932},[157],{"categories":6934},[209],{"categories":6936},[],{"categories":6938},[209],{"categories":6940},[209],{"categories":6942},[328],{"categories":6944},[170],{"categories":6946},[184],{"categories":6948},[],{"categories":6950},[],{"categories":6952},[209],{"categories":6954},[184],{"categories":6956},[184],{"categories":6958},[184],{"categories":6960},[],{"categories":6962},[160],{"categories":6964},[184],{"categories":6966},[184],{"categories":6968},[160],{"categories":6970},[184],{"categories":6972},[165],{"categories":6974},[184],{"categories":6976},[184],{"categories":6978},[184],{"categories":6980},[209],{"categories":6982},[206],{"categories":6984},[206],{"categories":6986},[157],{"categories":6988},[184],{"categories":6990},[209],{"categories":6992},[328],{"categories":6994},[209],{"categories":6996},[209],{"categories":6998},[209],{"categories":7000},[],{"categories":7002},[165],{"categories":7004},[],{"categories":7006},[328],{"categories":7008},[184],{"categories":7010},[184],{"categories":7012},[184],{"categories":7014},[170],{"categories":7016},[206,165],{"categories":7018},[209],{"categories":7020},[],{"categories":7022},[],{"categories":7024},[209],{"categories":7026},[],{"categories":7028},[209],{"categories":7030},[206],{"categories":7032},[170],{"categories":7034},[],{"categories":7036},[184],{"categories":7038},[157],{"categories":7040},[258],{"categories":7042},[],{"categories":7044},[157],{"categories":7046},[],{"categories":7048},[206],{"categories":7050},[160],{"categories":7052},[209],{"categories":7054},[],{"categories":7056},[184],{"categories":7058},[206],[7060,7165,7541,7727],{"id":7061,"title":7062,"ai":7063,"body":7068,"categories":7123,"created_at":102,"date_modified":102,"description":38,"extension":103,"faq":102,"featured":104,"kicker_label":102,"meta":7124,"navigation":137,"path":7152,"published_at":7153,"question":102,"scraped_at":7154,"seo":7155,"sitemap":7156,"source_id":7157,"source_name":7158,"source_type":144,"source_url":7159,"stem":7160,"tags":7161,"thumbnail_url":102,"tldr":7162,"tweet":102,"unknown_tags":7163,"__hash__":7164},"summaries\u002Fsummaries\u002F352a655761b08b28-35b-models-on-rtx-4090-turboquant-kv-compression-u-summary.md","35B Models on RTX 4090: TurboQuant KV Compression Unlocks 32K Context",{"provider":7,"model":8,"input_tokens":7064,"output_tokens":7065,"processing_time_ms":7066,"cost_usd":7067},6914,2052,13171,0.00190195,{"type":14,"value":7069,"toc":7117},[7070,7074,7077,7081,7084,7088,7095,7101,7107,7110,7114],[17,7071,7073],{"id":7072},"q4_k_m-quantization-delivers-90-95-quality-at-60-original-size","Q4_K_M Quantization Delivers 90-95% Quality at 60% Original Size",[22,7075,7076],{},"Q4_K_M GGUF compresses model weights to ~0.6 GB per billion parameters (7B → 4GB, 32B → 19GB, 70B → 40GB) by storing weights in 4 bits with K-quant block grouping and M-medium mixed precision for sensitive layers. This preserves 90-95% of FP16 accuracy, making it the default for local runs on HuggingFace\u002FOllama. Dense 35B models need 21-22GB VRAM for weights alone on RTX 4090 (24GB total), leaving ~2GB for KV cache—insufficient beyond short contexts. MoE 35B (e.g., Qwen2.5-35B-A3B) activates only 3B params\u002Ftoken, fitting in ~20GB with 1.2GB KV at 64K context due to fewer active heads, reducing TurboQuant's necessity.",[17,7078,7080],{"id":7079},"turboquant-stacks-on-weights-for-long-context-memory-wins","TurboQuant Stacks on Weights for Long-Context Memory Wins",[22,7082,7083],{},"TurboQuant compresses KV cache to 2-4 bits at inference (PolarQuant + QJL, e.g., bits=3) without touching weights, enabling dense models like Mistral Small 3.1 24B or Qwen2.5-32B (64 layers, 8 GQA heads, head_dim=128) to handle 32K context on 24GB VRAM. Formula: 2 × layers × heads × head_dim × seq_len × bytes\u002Felement. Without it, 16K context KV hits ~4GB (total ~24GB borderline); with turbo3, drops to ~1.2GB, freeing space for 32K (~2.4GB). Fused Triton kernels compute attention on compressed KV, speeding up >8K contexts (major at 32K+). Asymmetric K@3bits\u002FV@2bits saves more with zero quality loss empirically.",[17,7085,7087],{"id":7086},"three-paths-to-turboquant-on-24gb-gpus-today","Three Paths to TurboQuant on 24GB GPUs Today",[22,7089,7090,7094],{},[7091,7092,7093],"strong",{},"PyPI turboquant-kv",": Wrap HF Transformers (load_in_4bit) with TurboQuantModel(bits=3).enable_decoder_fused_attention() for Python scripts; handles 512+ new tokens on long inputs.",[22,7096,7097,7100],{},[7091,7098,7099],{},"vLLM fork (0xSero\u002Fturboquant)",": install_turboquant_vllm(bits=3, head_dim=128) before LLM(model, gpu_memory_utilization=0.92); prebuilt codebooks for d=128\u002F256 at 2\u002F3\u002F4 bits; server-friendly.",[22,7102,7103,7106],{},[7091,7104,7105],{},"llama.cpp fork (turboquant_plus)",": Build with CUDA, run llama-server -m model-Q4_K_M.gguf --cache-type-k turbo3 --cache-type-v turbo2 -c 32768 -ngl 99. Turbo4 ≈ q8_0 quality, turbo3 best tradeoff, turbo2 extreme. Fits 32K on Qwen2.5-32B (19GB weights + \u003C4GB KV).",[22,7108,7109],{},"Quality holds ≥8B models; speedups context-dependent (\u003C2K: memory only). Experimental—await Google impl (Q2-Q3 2026), llama.cpp #20969, vLLM #38171 merges.",[17,7111,7113],{"id":7112},"optimal-stack-q4_k_m-gguf-turboquant_plus-turbo32","Optimal Stack: Q4_K_M GGUF + turboquant_plus turbo3\u002F2",[22,7115,7116],{},"Download Q4_K_M GGUF, use llama.cpp fork at 16-32K context. Achieves reliable 35B dense inference where defaults crash; 128K impossible (KV still GBs post-compression).",{"title":38,"searchDepth":96,"depth":96,"links":7118},[7119,7120,7121,7122],{"id":7072,"depth":96,"text":7073},{"id":7079,"depth":96,"text":7080},{"id":7086,"depth":96,"text":7087},{"id":7112,"depth":96,"text":7113},[157],{"content_references":7125,"triage":7149},[7126,7129,7132,7135,7137,7140,7143,7146],{"type":116,"title":7127,"url":7128,"context":111},"GGUF","https:\u002F\u002Fhuggingface.co\u002Fdocs\u002Fhub\u002Fgguf",{"type":116,"title":7130,"url":7131,"context":111},"AWQ","https:\u002F\u002Fhuggingface.co\u002Fdocs\u002Ftransformers\u002Fquantization\u002Fawq",{"type":116,"title":7133,"url":7134,"context":122},"VRAM Requirements for AI Models","https:\u002F\u002Fwillitrunai.com\u002Fblog\u002Fvram-requirements-for-ai-models",{"type":108,"title":7136,"context":114},"turboquant-kv",{"type":108,"title":7138,"url":7139,"context":114},"0xSero\u002Fturboquant","https:\u002F\u002Fgithub.com\u002F0xSero\u002Fturboquant.git",{"type":108,"title":7141,"url":7142,"context":114},"turboquant_plus","https:\u002F\u002Fgithub.com\u002FTheTom\u002Fturboquant_plus.git",{"type":116,"title":7144,"url":7145,"context":111},"llama.cpp discussion #20969","https:\u002F\u002Fgithub.com\u002Fggml-org\u002Fllama.cpp\u002Fdiscussions\u002F20969",{"type":116,"title":7147,"url":7148,"context":111},"vLLM issue #38171","https:\u002F\u002Fgithub.com\u002Fvllm-project\u002Fvllm\u002Fissues\u002F38171",{"relevance":132,"novelty":134,"quality":134,"actionability":134,"composite":7150,"reasoning":7151},4.35,"Category: AI & LLMs. The article provides in-depth technical insights on running large language models efficiently, addressing the pain point of integrating AI features into products. It offers specific implementation paths for using TurboQuant, which is actionable for developers looking to optimize AI model performance.","\u002Fsummaries\u002F352a655761b08b28-35b-models-on-rtx-4090-turboquant-kv-compression-u-summary","2026-04-15 12:31:01","2026-04-15 15:39:14",{"title":7062,"description":38},{"loc":7152},"352a655761b08b28","Towards AI","https:\u002F\u002Fpub.towardsai.net\u002Frunning-a-35b-model-locally-with-turboquant-whats-actually-possible-right-now-1ac5327430b0?source=rss----98111c9905da---4","summaries\u002F352a655761b08b28-35b-models-on-rtx-4090-turboquant-kv-compression-u-summary",[148,149,150],"Stack Q4_K_M weight quantization with TurboQuant's 3-bit KV cache compression to run dense 35B models at 32K context on 24GB VRAM, fitting weights (20GB) + KV cache (under 4GB) with room to spare—use llama.cpp forks today.",[],"sGRm9blteDamXpWHWdqmPUk1Seq5Nct_nBmywP1bFT0",{"id":7166,"title":7167,"ai":7168,"body":7173,"categories":7527,"created_at":102,"date_modified":102,"description":38,"extension":103,"faq":102,"featured":104,"kicker_label":102,"meta":7528,"navigation":137,"path":7529,"published_at":7530,"question":102,"scraped_at":102,"seo":7531,"sitemap":7532,"source_id":7533,"source_name":7534,"source_type":144,"source_url":7535,"stem":7536,"tags":7537,"thumbnail_url":102,"tldr":7538,"tweet":102,"unknown_tags":7539,"__hash__":7540},"summaries\u002Fsummaries\u002Fllm-as-judge-evaluates-rag-keyword-beats-vector-summary.md","LLM-as-Judge Evaluates RAG: Keyword Beats Vector",{"provider":7,"model":8,"input_tokens":7169,"output_tokens":7170,"processing_time_ms":7171,"cost_usd":7172},5849,1975,17506,0.0021348,{"type":14,"value":7174,"toc":7522},[7175,7179,7186,7192,7214,7219,7237,7252,7256,7267,7288,7291,7361,7364,7391,7394,7414,7417,7452,7456,7459,7511,7518],[17,7176,7178],{"id":7177},"rag-needs-automated-internal-evaluation-for-optimization","RAG Needs Automated Internal Evaluation for Optimization",[22,7180,7181,7182,7185],{},"RAG systems require quantitative evaluation to compare optimizations like retrieval strategies, avoiding manual checks that are slow and subjective—integrate into CI\u002FCD pipelines like unit tests. Focus on ",[7091,7183,7184],{},"internal evaluation"," of retrieval and generation modules:",[22,7187,7188,7191],{},[7091,7189,7190],{},"Retrieval metrics",":",[7193,7194,7195,7202,7208],"ul",{},[7196,7197,7198,7201],"li",{},[7091,7199,7200],{},"Relevance",": Retrieved chunks match query?",[7196,7203,7204,7207],{},[7091,7205,7206],{},"Coverage",": All relevant database chunks fetched?",[7196,7209,7210,7213],{},[7091,7211,7212],{},"Correctness",": High signal-to-noise ratio, relevant chunks ranked top?",[22,7215,7216,7191],{},[7091,7217,7218],{},"Generation metrics",[7193,7220,7221,7226,7232],{},[7196,7222,7223,7225],{},[7091,7224,7200],{},": Answer aligns with query, no off-topic drift?",[7196,7227,7228,7231],{},[7091,7229,7230],{},"Factuality",": Answer grounded in retrieved sources, no hallucinations?",[7196,7233,7234,7236],{},[7091,7235,7212],{},": Answer factually accurate?",[22,7238,7239,7240,7243,7244,7247,7248,7251],{},"Prefer ",[7091,7241,7242],{},"LLM-as-a-judge"," over traditional NLP metrics (ROUGE, BLEU) for nuanced semantic judgment. Ground evaluators in production setups like Azure AI Search indexes (e.g., ",[36,7245,7246],{},"rag-evalution-chris"," with 50 chunks from employee handbook PDFs, vectorized in ",[36,7249,7250],{},"text_vector"," field).",[17,7253,7255],{"id":7254},"azure-sdk-evaluators-automate-llm-as-judge-scoring","Azure SDK Evaluators Automate LLM-as-Judge Scoring",[22,7257,7258,7259,7262,7263,7266],{},"Leverage ",[36,7260,7261],{},"azure.ai.evaluation"," package with GPT-4 (",[36,7264,7265],{},"gpt-4.1"," deployment) for zero-shot scoring (1.0-5.0 scale). Key evaluators:",[7193,7268,7269,7279],{},[7196,7270,7271,7274,7275,7278],{},[7091,7272,7273],{},"GroundednessEvaluator",": Measures answer's fidelity to sources—scores drop if facts can't be verified in context, even if externally true. Input: ",[36,7276,7277],{},"response=answer, context=sources",".",[7196,7280,7281,7284,7285,7278],{},[7091,7282,7283],{},"RelevanceEvaluator",": Checks query-response alignment and contextual fit. Input: ",[36,7286,7287],{},"query=user_question, response=answer, context=sources",[22,7289,7290],{},"Setup clients for Azure AI Search and OpenAI:",[29,7292,7295],{"className":7293,"code":7294,"language":150,"meta":38,"style":38},"language-python shiki shiki-themes github-light github-dark","import os\nfrom azure.search.documents import SearchClient\nfrom azure.search.documents.models import VectorizedQuery\nfrom openai import AzureOpenAI\n# Load env vars: AZURE_SEARCH_*, AZURE_OPENAI_*\nopenai_client = AzureOpenAI(api_key=AZURE_OPENAI_API_KEY, azure_endpoint=AZURE_OPENAI_ENDPOINT, api_version=\"2024-10-21\")\nsearch_client = SearchClient(endpoint=AZURE_SEARCH_ENDPOINT, index_name=AZURE_SEARCH_INDEX_NAME, credential=AzureKeyCredential(AZURE_SEARCH_ADMIN_KEY))\n\ndef get_embedding_vector(query: str) -> list[float]:\n    response = openai_client.embeddings.create(model=AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME, input=[query])\n    return response.data[0].embedding\n",[36,7296,7297,7305,7310,7315,7320,7325,7331,7337,7343,7349,7355],{"__ignoreMap":38},[7298,7299,7302],"span",{"class":7300,"line":7301},"line",1,[7298,7303,7304],{},"import os\n",[7298,7306,7307],{"class":7300,"line":96},[7298,7308,7309],{},"from azure.search.documents import SearchClient\n",[7298,7311,7312],{"class":7300,"line":133},[7298,7313,7314],{},"from azure.search.documents.models import VectorizedQuery\n",[7298,7316,7317],{"class":7300,"line":134},[7298,7318,7319],{},"from openai import AzureOpenAI\n",[7298,7321,7322],{"class":7300,"line":132},[7298,7323,7324],{},"# Load env vars: AZURE_SEARCH_*, AZURE_OPENAI_*\n",[7298,7326,7328],{"class":7300,"line":7327},6,[7298,7329,7330],{},"openai_client = AzureOpenAI(api_key=AZURE_OPENAI_API_KEY, azure_endpoint=AZURE_OPENAI_ENDPOINT, api_version=\"2024-10-21\")\n",[7298,7332,7334],{"class":7300,"line":7333},7,[7298,7335,7336],{},"search_client = SearchClient(endpoint=AZURE_SEARCH_ENDPOINT, index_name=AZURE_SEARCH_INDEX_NAME, credential=AzureKeyCredential(AZURE_SEARCH_ADMIN_KEY))\n",[7298,7338,7340],{"class":7300,"line":7339},8,[7298,7341,7342],{"emptyLinePlaceholder":137},"\n",[7298,7344,7346],{"class":7300,"line":7345},9,[7298,7347,7348],{},"def get_embedding_vector(query: str) -> list[float]:\n",[7298,7350,7352],{"class":7300,"line":7351},10,[7298,7353,7354],{},"    response = openai_client.embeddings.create(model=AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME, input=[query])\n",[7298,7356,7358],{"class":7300,"line":7357},11,[7298,7359,7360],{},"    return response.data[0].embedding\n",[22,7362,7363],{},"Retrieval (top=5):",[7193,7365,7366,7375,7383],{},[7196,7367,7368,7371,7372],{},[7091,7369,7370],{},"Keyword",": ",[36,7373,7374],{},"search_client.search(search_text=user_question)",[7196,7376,7377,7371,7380],{},[7091,7378,7379],{},"Vector",[36,7381,7382],{},"search_client.search(None, vector_queries=[VectorizedQuery(vector=get_embedding_vector(user_question), k_nearest_neighbors=50, fields=\"text_vector\")])",[7196,7384,7385,7371,7388],{},[7091,7386,7387],{},"Hybrid (semantic)",[36,7389,7390],{},"search_client.search(user_question, vector_queries=[...], query_type=\"semantic\", semantic_configuration_name=\"rag-evaluation-chris-semantic-configuration\")",[22,7392,7393],{},"Generation prompt enforces grounding:",[29,7395,7397],{"className":7293,"code":7396,"language":150,"meta":38,"style":38},"SYSTEM_MESSAGE = \"\"\"Answer ONLY with facts from sources. Use [source] citations.\"\"\"\nresponse = openai_client.chat.completions.create(model=AZURE_OPENAI_LLM_DEPLOYMENT_NAME, messages=[{\"role\": \"system\", \"content\": SYSTEM_MESSAGE}, {\"role\": \"user\", \"content\": user_question + \"\\nSources: \" + sources}])\nanswer = response.choices[0].message.content\n",[36,7398,7399,7404,7409],{"__ignoreMap":38},[7298,7400,7401],{"class":7300,"line":7301},[7298,7402,7403],{},"SYSTEM_MESSAGE = \"\"\"Answer ONLY with facts from sources. Use [source] citations.\"\"\"\n",[7298,7405,7406],{"class":7300,"line":96},[7298,7407,7408],{},"response = openai_client.chat.completions.create(model=AZURE_OPENAI_LLM_DEPLOYMENT_NAME, messages=[{\"role\": \"system\", \"content\": SYSTEM_MESSAGE}, {\"role\": \"user\", \"content\": user_question + \"\\nSources: \" + sources}])\n",[7298,7410,7411],{"class":7300,"line":133},[7298,7412,7413],{},"answer = response.choices[0].message.content\n",[22,7415,7416],{},"Evaluate:",[29,7418,7420],{"className":7293,"code":7419,"language":150,"meta":38,"style":38},"from azure.ai.evaluation import AzureOpenAIModelConfiguration, GroundednessEvaluator, RelevanceEvaluator\nmodel_config = {\"azure_endpoint\": AZURE_OPENAI_ENDPOINT, \"azure_deployment\": AZURE_OPENAI_LLM_DEPLOYMENT_NAME, \"api_key\": AZURE_OPENAI_API_KEY}\nrelevance_eval = RelevanceEvaluator(model_config)\ngroundedness_eval = GroundednessEvaluator(model_config)\nrelevance_score = relevance_eval(query=user_question, response=answer, context=sources)\ngroundedness_score = groundedness_eval(response=answer, context=sources)\n",[36,7421,7422,7427,7432,7437,7442,7447],{"__ignoreMap":38},[7298,7423,7424],{"class":7300,"line":7301},[7298,7425,7426],{},"from azure.ai.evaluation import AzureOpenAIModelConfiguration, GroundednessEvaluator, RelevanceEvaluator\n",[7298,7428,7429],{"class":7300,"line":96},[7298,7430,7431],{},"model_config = {\"azure_endpoint\": AZURE_OPENAI_ENDPOINT, \"azure_deployment\": AZURE_OPENAI_LLM_DEPLOYMENT_NAME, \"api_key\": AZURE_OPENAI_API_KEY}\n",[7298,7433,7434],{"class":7300,"line":133},[7298,7435,7436],{},"relevance_eval = RelevanceEvaluator(model_config)\n",[7298,7438,7439],{"class":7300,"line":134},[7298,7440,7441],{},"groundedness_eval = GroundednessEvaluator(model_config)\n",[7298,7443,7444],{"class":7300,"line":132},[7298,7445,7446],{},"relevance_score = relevance_eval(query=user_question, response=answer, context=sources)\n",[7298,7448,7449],{"class":7300,"line":7327},[7298,7450,7451],{},"groundedness_score = groundedness_eval(response=answer, context=sources)\n",[17,7453,7455],{"id":7454},"keyword-search-wins-for-simple-queries-enables-agentic-rag","Keyword Search Wins for Simple Queries, Enables Agentic RAG",[22,7457,7458],{},"On query \"What does a product manager do?\" (50-chunk index):",[7460,7461,7462,7477],"table",{},[7463,7464,7465],"thead",{},[7466,7467,7468,7472,7475],"tr",{},[7469,7470,7471],"th",{},"Method",[7469,7473,7474],{},"Groundedness",[7469,7476,7200],{},[7478,7479,7480,7491,7501],"tbody",{},[7466,7481,7482,7485,7488],{},[7483,7484,7370],"td",{},[7483,7486,7487],{},"4.5",[7483,7489,7490],{},"5.0",[7466,7492,7493,7496,7499],{},[7483,7494,7495],{},"Hybrid",[7483,7497,7498],{},"4.0",[7483,7500,7487],{},[7466,7502,7503,7505,7508],{},[7483,7504,7379],{},[7483,7506,7507],{},"3.0",[7483,7509,7510],{},"3.5",[22,7512,7513,7514,7517],{},"Keyword search topped scores unexpectedly for this task, proving automated eval reveals trade-offs (e.g., vector struggles with exact phrasing). This closes the loop for ",[7091,7515,7516],{},"Agentic RAG",": reliable metrics select best retrieval for self-improving agents.",[7519,7520,7521],"style",{},"html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":38,"searchDepth":96,"depth":96,"links":7523},[7524,7525,7526],{"id":7177,"depth":96,"text":7178},{"id":7254,"depth":96,"text":7255},{"id":7454,"depth":96,"text":7455},[],{},"\u002Fsummaries\u002Fllm-as-judge-evaluates-rag-keyword-beats-vector-summary","2026-04-08 21:21:17",{"title":7167,"description":38},{"loc":7529},"20b8d035b68db639","Level Up Coding","https:\u002F\u002Funknown","summaries\u002Fllm-as-judge-evaluates-rag-keyword-beats-vector-summary",[148,150,149],"Use Azure SDK's GroundednessEvaluator (1-5 scale: answer fidelity to sources) and RelevanceEvaluator (query-response alignment) to automate RAG scoring; keyword search outperformed vector\u002Fhybrid on 'product manager duties' query.",[],"WbpHbWCJqCpSbai5hGyHaCpcDDTRGieYViPox5fj2mc",{"id":7542,"title":7543,"ai":7544,"body":7549,"categories":7707,"created_at":102,"date_modified":102,"description":38,"extension":103,"faq":102,"featured":104,"kicker_label":102,"meta":7708,"navigation":137,"path":7717,"published_at":102,"question":102,"scraped_at":7718,"seo":7719,"sitemap":7720,"source_id":7721,"source_name":143,"source_type":144,"source_url":7148,"stem":7722,"tags":7723,"thumbnail_url":102,"tldr":7724,"tweet":102,"unknown_tags":7725,"__hash__":7726},"summaries\u002Fsummaries\u002Fd32d038984e0c1db-turboquant-4-7x-kv-cache-compression-in-vllm-summary.md","TurboQuant: 4-7x KV Cache Compression in vLLM",{"provider":7,"model":8,"input_tokens":7545,"output_tokens":7546,"processing_time_ms":7547,"cost_usd":7548},10176,1474,8441,0.0027497,{"type":14,"value":7550,"toc":7702},[7551,7555,7558,7561,7565,7568,7641,7644,7648,7651,7699],[17,7552,7554],{"id":7553},"turboquant-delivers-superior-kv-cache-compression","TurboQuant Delivers Superior KV Cache Compression",[22,7556,7557],{},"TurboQuant uses online vector quantization with QR rotation, Lloyd-Max codebooks, and bit-packing for 2-4 bit (including 2.5\u002F3.5 fractional) KV caches, achieving provably near-optimal distortion within 2.7x of information-theoretic limits. Unlike scalar methods like FP8 (e4m3\u002Fe5m2) or INT4, it preserves inner products unbiased—key for attention—while enabling 4-5x memory savings. Paper benchmarks show perfect Needle-in-a-Haystack recall at 4x compression and competitive LongBench scores at 2.5-3.5 bits\u002Fdim. It requires no preprocessing, runs online, and suits accelerators.",[22,7559,7560],{},"vLLM alternatives (FP8, compressed-tensors) optimize MSE element-wise but lack vector codebooks, inner-product focus, theoretical guarantees, or sub-4-bit flexibility.",[17,7562,7564],{"id":7563},"proven-zero-loss-performance-and-throughput-gains","Proven Zero-Loss Performance and Throughput Gains",[22,7566,7567],{},"PoC on Qwen2.5-7B (H200, 4K-16K context) yields:",[7460,7569,7570,7586],{},[7463,7571,7572],{},[7466,7573,7574,7577,7580,7583],{},[7469,7575,7576],{},"Config",[7469,7578,7579],{},"Exact Match",[7469,7581,7582],{},"Avg Cache GB",[7469,7584,7585],{},"vs Full",[7478,7587,7588,7602,7615,7628],{},[7466,7589,7590,7593,7596,7599],{},[7483,7591,7592],{},"Full",[7483,7594,7595],{},"6\u002F6",[7483,7597,7598],{},"0.510",[7483,7600,7601],{},"1.0x",[7466,7603,7604,7607,7609,7612],{},[7483,7605,7606],{},"TQ 2-bit",[7483,7608,7595],{},[7483,7610,7611],{},"0.068",[7483,7613,7614],{},"7.5x",[7466,7616,7617,7620,7622,7625],{},[7483,7618,7619],{},"TQ 3.5-bit",[7483,7621,7595],{},[7483,7623,7624],{},"0.112",[7483,7626,7627],{},"4.5x",[7466,7629,7630,7633,7635,7638],{},[7483,7631,7632],{},"TQ 4-bit",[7483,7634,7595],{},[7483,7636,7637],{},"0.132",[7483,7639,7640],{},"3.9x",[22,7642,7643],{},"Upstream PR #38280 (Qwen2.5-1.5B, H200) confirms 12\u002F12 exact matches across bit-widths, TTFT\u002FITL latency matching baseline (9.3ms\u002F8.4ms), and 21% throughput boost at batch=16. Phase 2 adds bit-packed uint8 storage (ceil(head_size*bits\u002F8)+2 bytes\u002Fslot) for full ratios.",[17,7645,7647],{"id":7646},"straightforward-vllm-integration-path","Straightforward vLLM Integration Path",[22,7649,7650],{},"Aligns with vLLM's framework:",[7193,7652,7653,7668,7675,7682,7689,7692],{},[7196,7654,7655,7656,7659,7660,7663,7664,7667],{},"Extend ",[36,7657,7658],{},"CacheDType"," in ",[36,7661,7662],{},"cache.py","\u002F",[36,7665,7666],{},"torch_utils.py"," for integer indices.",[7196,7669,7670,7671,7674],{},"Add ",[36,7672,7673],{},"@register_quantization_config(\"turboquant\") TurboQuantConfig"," targeting Attention layers.",[7196,7676,7677,7678,7681],{},"Implement ",[36,7679,7680],{},"TurboQuantKVCacheMethod"," (extends BaseKVCacheMethod) for codebook params, MSE\u002FIP variants, per-head support.",[7196,7683,7684,7685,7688],{},"Update ",[36,7686,7687],{},"is_quantized_kv_cache()"," detection.",[7196,7690,7691],{},"CUDA\u002FTriton encode\u002Fdecode kernels (43\u002F43 tests pass).",[7196,7693,7694,7695,7698],{},"Adjust ",[36,7696,7697],{},"KVCacheSpec"," for codebook overhead\u002Fvariable ratios.",[22,7700,7701],{},"PoC covers steps 1-5; PR #38280 integrates fully with Triton attention. Related: PolarQuant, ollama\u002Follama#15051, llama.cpp#20977, vllm-omni#2214.",{"title":38,"searchDepth":96,"depth":96,"links":7703},[7704,7705,7706],{"id":7553,"depth":96,"text":7554},{"id":7563,"depth":96,"text":7564},{"id":7646,"depth":96,"text":7647},[157],{"content_references":7709,"triage":7714},[7710],{"type":7711,"title":7712,"url":7713,"context":122},"paper","TurboQuant: Online Vector Quantization with Near-optimal Distortion Rate","https:\u002F\u002Farxiv.org\u002Fpdf\u002F2504.19874",{"relevance":134,"novelty":133,"quality":134,"actionability":134,"composite":7715,"reasoning":7716},3.8,"Category: AI & LLMs. The article discusses TurboQuant's vector quantization for KV cache compression, which is relevant for AI engineers looking to optimize LLM performance. It provides specific integration steps for vLLM, making it actionable for developers, though the content is quite technical and may not be accessible to all audiences.","\u002Fsummaries\u002Fd32d038984e0c1db-turboquant-4-7x-kv-cache-compression-in-vllm-summary","2026-04-16 03:08:39",{"title":7543,"description":38},{"loc":7717},"d32d038984e0c1db","summaries\u002Fd32d038984e0c1db-turboquant-4-7x-kv-cache-compression-in-vllm-summary",[148,149,150],"TurboQuant vector quantization compresses vLLM KV caches 3.9-7.5x at 2-4 bits\u002Fdim with perfect Needle-in-a-Haystack recall, zero latency overhead, and 21% throughput gains.",[],"XlnqSgcG5nhgzzRW6Sdk3XPgtmFuSj6gJC1hWx2uIwk",{"id":7728,"title":7729,"ai":7730,"body":7736,"categories":7806,"created_at":102,"date_modified":102,"description":38,"extension":103,"faq":102,"featured":104,"kicker_label":102,"meta":7807,"navigation":137,"path":7817,"published_at":7818,"question":102,"scraped_at":7819,"seo":7820,"sitemap":7821,"source_id":7822,"source_name":7823,"source_type":7824,"source_url":7825,"stem":7826,"tags":7827,"thumbnail_url":7829,"tldr":7830,"tweet":7831,"unknown_tags":7832,"__hash__":7833},"summaries\u002Fsummaries\u002Fd140953fe4179f6a-decoupling-ai-tasks-from-model-implementation-with-summary.md","Decoupling AI Tasks from Model Implementation with DSPy",{"provider":7,"model":7731,"input_tokens":7732,"output_tokens":7733,"processing_time_ms":7734,"cost_usd":7735},"google\u002Fgemini-3.1-flash-lite",6928,659,3401,0.0027205,{"type":14,"value":7737,"toc":7801},[7738,7742,7749,7753,7756,7777,7781,7784,7787],[17,7739,7741],{"id":7740},"the-case-for-functional-ai-programming","The Case for Functional AI Programming",[22,7743,7744,7745,7748],{},"Modern AI development often suffers from \"prompt engineering\" fragility, where workflows are tightly coupled to specific model behaviors or prompt templates. DSPy proposes treating AI tasks as standard software functions: reusable, composable, and testable. By defining a clear contract—a ",[7091,7746,7747],{},"Signature","—that specifies inputs and outputs, developers can treat the underlying AI implementation as a black box. This separation allows developers to swap models, integrate new techniques (like agents or tools), or change prompting strategies without altering the business logic.",[17,7750,7752],{"id":7751},"the-three-pillars-of-task-specification","The Three Pillars of Task Specification",[22,7754,7755],{},"To move beyond manual prompt tuning and enable automatic optimization, DSPy requires three distinct components to fully specify a task:",[7757,7758,7759,7765,7771],"ol",{},[7196,7760,7761,7764],{},[7091,7762,7763],{},"Instructions (Specs):"," Natural language definitions of what the task should achieve, independent of the model provider or specific prompt format.",[7196,7766,7767,7770],{},[7091,7768,7769],{},"Code (Constraints):"," Programmatic logic that enforces requirements. This allows for \"loop engineering,\" where the system can automatically retry tasks, validate outputs (e.g., ensuring a value is not negative), or branch into more complex reasoning (Chain-of-Thought) if a simple pass fails.",[7196,7772,7773,7776],{},[7091,7774,7775],{},"Evals (What Good Looks Like):"," A metric-driven approach to performance. By defining what success looks like, developers can use optimizers to automatically tune prompts, few-shot examples, and even model harnesses to climb the performance \"hill.\"",[17,7778,7780],{"id":7779},"future-proofing-with-modular-ecosystems","Future-Proofing with Modular Ecosystems",[22,7782,7783],{},"This architecture enables \"last-mile\" AI engineering. Because the implementation is decoupled from the signature, developers can integrate cutting-edge research—such as Recursive Language Models (RLMs) or new prompt optimizers—with minimal code changes.",[22,7785,7786],{},"Looking ahead, the DSPy team is moving toward:",[7193,7788,7789,7795],{},[7196,7790,7791,7794],{},[7091,7792,7793],{},"DSPy Flex:"," Learning a custom harness over time to solve specific functions, moving beyond simple prompt optimization to code-level optimization.",[7196,7796,7797,7800],{},[7091,7798,7799],{},"Qualitative Learning:"," Using real-world production feedback (traces, user actions) to automatically refine evaluation metrics. The goal is to allow models to interpret textual feedback and iteratively improve their own performance against the actual business problem, rather than relying on static, hand-crafted benchmarks.",{"title":38,"searchDepth":96,"depth":96,"links":7802},[7803,7804,7805],{"id":7740,"depth":96,"text":7741},{"id":7751,"depth":96,"text":7752},{"id":7779,"depth":96,"text":7780},[157],{"content_references":7808,"triage":7815},[7809,7812],{"type":108,"title":7810,"url":7811,"context":114},"DSPy","https:\u002F\u002Fgithub.com\u002Fstanfordnlp\u002Fdspy",{"type":7711,"title":7813,"author":7814,"context":111},"Recursive Language Models","Alex Zang",{"relevance":132,"novelty":134,"quality":134,"actionability":134,"composite":7150,"reasoning":7816},"Category: AI & LLMs. The article provides a detailed framework for decoupling AI tasks from model implementation, addressing a key pain point for developers who struggle with prompt engineering fragility. It offers actionable insights on how to define AI tasks through signatures, which can be directly applied to improve AI workflows.","\u002Fsummaries\u002Fd140953fe4179f6a-decoupling-ai-tasks-from-model-implementation-with-summary","2026-07-23 17:45:06","2026-07-23 18:18:48",{"title":7729,"description":38},{"loc":7817},"d140953fe4179f6a","AI Engineer","video","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=GgLQ02aO-hs","summaries\u002Fd140953fe4179f6a-decoupling-ai-tasks-from-model-implementation-with-summary",[148,149,150,7828],"software-engineering","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002FGgLQ02aO-hs\u002Fhqdefault.jpg","By defining AI tasks through signatures (inputs\u002Foutputs) rather than specific prompts, developers can treat LLM logic as modular, optimizable functions, allowing them to swap models and techniques without rewriting the core workflow.","This talk advocates for using [DSPy](https:\u002F\u002Fgithub.com\u002Fstanfordnlp\u002Fdspy) to decouple AI task definitions from their underlying implementation. The speakers explain how defining \"signatures\" (inputs and outputs) allows developers to swap models, prompts, and optimization strategies without rewriting the core application logic.",[7828],"ueRl4GqktWNaHS5uTcd2aMBmfMzJjo31qUFmsz5zzcI"]