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