[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-a7dce4da9640507a-building-modular-ml-pipelines-with-azure-ml-compon-summary":3,"summaries-facets-categories":159,"summary-related-a7dce4da9640507a-building-modular-ml-pipelines-with-azure-ml-compon-summary":7063},{"id":4,"title":5,"ai":6,"body":13,"categories":120,"created_at":122,"date_modified":122,"description":114,"extension":123,"faq":122,"featured":124,"kicker_label":122,"meta":125,"navigation":140,"path":141,"published_at":142,"question":122,"scraped_at":143,"seo":144,"sitemap":145,"source_id":146,"source_name":147,"source_type":148,"source_url":149,"stem":150,"tags":151,"thumbnail_url":122,"tldr":156,"tweet":122,"unknown_tags":157,"__hash__":158},"summaries\u002Fsummaries\u002Fa7dce4da9640507a-building-modular-ml-pipelines-with-azure-ml-compon-summary.md","Building Modular ML Pipelines with Azure ML Components",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","google\u002Fgemini-3.1-flash-lite",7641,702,4588,0.00296325,{"type":14,"value":15,"toc":113},"minimark",[16,21,25,42,46,49,68,75,79,86,89],[17,18,20],"h2",{"id":19},"the-case-for-component-based-pipelines","The Case for Component-Based Pipelines",[22,23,24],"p",{},"Machine learning workflows are inherently multi-step processes. Transitioning from monolithic scripts to a component-based architecture allows you to break these workflows into modular blocks. This approach provides two primary advantages:",[26,27,28,36],"ul",{},[29,30,31,35],"li",{},[32,33,34],"strong",{},"Efficiency and Cost:"," By treating steps as independent components, you can reuse outputs from previous runs, avoiding redundant computation.",[29,37,38,41],{},[32,39,40],{},"MLOps Foundation:"," Modular components are easier to version, test, and automate, creating a standardized structure necessary for mature MLOps practices.",[17,43,45],{"id":44},"defining-and-registering-components","Defining and Registering Components",[22,47,48],{},"Azure ML components act as the building blocks of a pipeline. Each component requires metadata (name, version), interface definitions (inputs\u002Foutputs), and a runtime environment. There are two primary ways to define these:",[26,50,51,62],{},[29,52,53,56,57,61],{},[32,54,55],{},"Python-based:"," Using the ",[58,59,60],"code",{},"command"," function in the Azure ML SDK, you can define a component programmatically. This is useful for dynamic configurations where you want to keep logic and registration in the same codebase.",[29,63,64,67],{},[32,65,66],{},"YAML-based:"," You can define components declaratively using YAML files. This is often preferred for version control and clarity, separating the component specification from the execution logic.",[22,69,70,71,74],{},"Regardless of the definition method, each component must be linked to an ",[58,72,73],{},"Environment","—a containerized runtime that specifies dependencies (e.g., scikit-learn, pandas, numpy). You can use custom environments or Azure-curated environments depending on your project's requirements.",[17,76,78],{"id":77},"orchestrating-pipelines-with-the-sdk","Orchestrating Pipelines with the SDK",[22,80,81,82,85],{},"Once components are registered, you can orchestrate them into a pipeline using the ",[58,83,84],{},"@dsl.pipeline"," decorator. The pipeline treats components like function calls: the output of one component (e.g., a data preparation step) is passed as an input to the next (e.g., a training step).",[22,87,88],{},"Key implementation details include:",[26,90,91,101,107],{},[29,92,93,96,97,100],{},[32,94,95],{},"Data Assets:"," Use ",[58,98,99],{},"Data Assets"," instead of raw file paths to manage data lineage within the Azure Blob Storage associated with your workspace.",[29,102,103,106],{},[32,104,105],{},"Serverless Compute:"," By utilizing serverless compute, you avoid the overhead of managing infrastructure, allowing the pipeline to scale automatically based on the job requirements.",[29,108,109,112],{},[32,110,111],{},"MLFlow Integration:"," Incorporating MLFlow within your training scripts enables automatic logging of metrics and model registration, which is essential for tracking the performance of different pipeline iterations.",{"title":114,"searchDepth":115,"depth":115,"links":116},"",2,[117,118,119],{"id":19,"depth":115,"text":20},{"id":44,"depth":115,"text":45},{"id":77,"depth":115,"text":78},[121],"AI Automation",null,"md",false,{"content_references":126,"triage":135},[127,132],{"type":128,"title":129,"url":130,"context":131},"tool","Azure Machine Learning","https:\u002F\u002Fazure.microsoft.com\u002Fen-us\u002Fproducts\u002Fmachine-learning\u002F","mentioned",{"type":128,"title":133,"url":134,"context":131},"MLflow","https:\u002F\u002Fmlflow.org\u002F",{"relevance":136,"novelty":137,"quality":137,"actionability":137,"composite":138,"reasoning":139},5,4,4.35,"Category: AI Automation. The article provides a detailed guide on building modular ML pipelines using Azure ML components, addressing the audience's need for practical applications in AI tooling. It offers specific methods for defining components in both Python and YAML, which are actionable for developers looking to implement these practices.",true,"\u002Fsummaries\u002Fa7dce4da9640507a-building-modular-ml-pipelines-with-azure-ml-compon-summary","2026-05-22 15:15:49","2026-05-23 19:01:59",{"title":5,"description":114},{"loc":141},"a7dce4da9640507a","Level Up Coding","article","https:\u002F\u002Flevelup.gitconnected.com\u002Fhands-on-component-based-development-on-azure-ml-from-component-to-pipeline-ff9d0db23f71?source=rss----5517fd7b58a6---4","summaries\u002Fa7dce4da9640507a-building-modular-ml-pipelines-with-azure-ml-compon-summary",[152,153,154,155],"ai-tools","python","devops","machine-learning","Azure ML pipelines improve training efficiency and MLOps readiness by breaking complex workflows into reusable, independently managed components defined via Python or YAML.",[],"pAbPWIU8Cydxk-Sh7pMkwMDaRrbgo9VqIoLdz2HTU0U",[160,163,166,168,171,173,175,178,180,182,184,186,189,191,193,195,197,200,202,204,206,208,211,214,216,218,220,222,224,226,228,230,232,234,236,238,240,242,244,246,248,250,252,254,256,258,260,263,265,267,269,271,273,275,277,279,281,283,285,287,289,292,294,296,298,300,302,304,306,308,310,312,314,316,318,320,322,324,326,328,330,333,335,337,339,341,343,345,347,349,351,353,355,357,359,362,364,366,368,370,372,374,376,378,380,382,384,386,388,390,392,394,396,398,400,402,404,406,408,410,412,414,416,418,420,422,424,427,429,431,433,435,437,439,441,443,445,447,450,452,454,456,458,460,462,464,466,468,470,472,474,476,478,480,483,485,487,489,491,493,495,497,499,501,503,506,508,510,512,514,516,518,520,522,524,526,528,530,532,534,536,538,540,542,544,546,548,550,552,554,556,558,560,562,565,567,569,572,574,576,578,580,582,584,586,588,590,592,594,596,598,600,602,604,606,608,611,613,615,617,619,621,623,625,627,629,631,633,636,638,640,642,644,646,648,650,652,654,656,658,660,662,664,666,668,670,672,674,676,678,680,682,684,686,688,690,692,694,696,698,700,702,704,706,708,710,712,714,716,718,720,722,724,726,728,730,732,734,736,738,740,742,744,746,748,750,752,754,756,758,760,762,764,766,768,770,772,774,776,778,780,782,784,786,788,790,792,794,796,798,800,802,804,806,808,810,812,814,816,818,820,822,824,826,828,830,832,834,836,838,840,842,844,846,848,850,852,854,856,858,860,862,864,866,868,870,872,874,876,878,880,882,884,886,888,890,892,894,896,898,900,902,904,906,908,910,912,914,916,918,920,923,925,927,929,931,934,936,938,940,942,944,946,948,950,952,954,956,958,961,963,965,967,969,971,973,975,977,979,981,983,985,987,989,991,993,995,997,999,1001,1003,1005,1007,1009,1011,1013,1015,1017,1019,1021,1023,1025,1027,1029,1031,1033,1035,1037,1039,1041,1043,1045,1047,1049,1051,1053,1055,1057,1059,1061,1063,1065,1067,1069,1071,1073,1075,1077,1079,1081,1083,1085,1087,1089,1091,1093,1095,1097,1099,1101,1103,1105,1107,1109,1111,1113,1115,1117,1119,1121,1123,1125,1127,1129,1131,1133,1135,1137,1139,1141,1143,1145,1147,1149,1151,1153,1155,1157,1159,1161,1163,1165,1167,1169,1171,1173,1175,1177,1179,1181,1183,1185,1187,1189,1191,1193,1195,1197,1199,1201,1203,1205,1207,1209,1211,1213,1215,1217,1219,1221,1223,1225,1227,1229,1231,1233,1235,1237,1239,1241,1243,1245,1247,1249,1251,1253,1255,1257,1259,1261,1263,1265,1267,1269,1271,1273,1275,1277,1279,1281,1283,1286,1288,1290,1292,1294,1296,1298,1300,1302,1304,1306,1308,1310,1312,1314,1316,1318,1320,1322,1324,1326,1328,1330,1332,1334,1336,1338,1340,1342,1344,1346,1348,1350,1352,1354,1356,1358,1360,1362,1364,1366,1368,1370,1372,1374,1376,1378,1380,1382,1384,1386,1388,1390,1392,1394,1396,1398,1400,1402,1404,1406,1408,1410,1412,1414,1416,1418,1420,1422,1424,1426,1428,1430,1432,1434,1436,1438,1440,1442,1444,1446,1448,1450,1452,1454,1456,1458,1460,1462,1464,1466,1468,1470,1472,1474,1476,1478,1480,1482,1484,1487,1489,1491,1493,1495,1497,1499,1501,1503,1505,1507,1509,1511,1513,1515,1517,1519,1521,1523,1525,1527,1529,1531,1533,1535,1537,1539,1541,1543,1545,1547,1549,1551,1553,1555,1557,1559,1561,1563,1565,1567,1569,1571,1573,1575,1577,1579,1581,1583,1585,1587,1589,1591,1593,1595,1597,1599,1601,1603,1605,1607,1609,1611,1613,1615,1617,1619,1621,1623,1626,1628,1630,1632,1634,1636,1638,1640,1642,1644,1646,1648,1650,1652,1654,1656,1658,1660,1662,1664,1666,1668,1670,1672,1674,1676,1678,1680,1682,1684,1686,1688,1690,1692,1694,1696,1698,1700,1702,1704,1706,1708,1710,1712,1714,1716,1718,1720,1722,1724,1726,1728,1730,1732,1734,1736,1738,1740,1742,1744,1746,1748,1750,1752,1754,1756,1758,1760,1762,1764,1766,1768,1770,1772,1774,1776,1778,1780,1782,1785,1787,1789,1791,1793,1795,1797,1799,1801,1803,1805,1807,1809,1811,1813,1815,1817,1819,1821,1823,1825,1827,1829,1831,1833,1835,1837,1839,1841,1843,1845,1848,1850,1852,1854,1856,1858,1860,1862,1864,1866,1868,1870,1872,1874,1876,1878,1880,1882,1884,1886,1888,1890,1892,1894,1896,1898,1900,1902,1904,1906,1908,1910,1912,1914,1916,1918,1920,1922,1924,1926,1928,1930,1932,1934,1936,1938,1940,1942,1944,1946,1948,1950,1952,1954,1956,1958,1960,1962,1964,1966,1968,1970,1972,1974,1976,1978,1980,1982,1984,1986,1988,1990,1992,1994,1996,1998,2000,2002,2004,2006,2008,2010,2012,2014,2016,2018,2020,2022,2024,2026,2028,2030,2032,2034,2036,2038,2040,2042,2044,2046,2048,2050,2052,2054,2056,2058,2060,2062,2064,2066,2068,2070,2072,2074,2076,2078,2080,2082,2084,2086,2088,2090,2092,2094,2096,2098,2100,2102,2104,2106,2108,2110,2112,2114,2116,2118,2120,2122,2124,2126,2128,2130,2132,2134,2136,2138,2140,2142,2144,2146,2148,2150,2152,2154,2156,2158,2160,2162,2164,2166,2168,2170,2172,2174,2176,2178,2180,2182,2184,2186,2188,2190,2192,2194,2196,2198,2200,2202,2204,2206,2208,2210,2212,2214,2216,2218,2220,2222,2224,2226,2228,2230,2232,2234,2236,2238,2240,2242,2244,2246,2248,2250,2252,2254,2256,2258,2260,2262,2264,2266,2268,2270,2272,2274,2276,2278,2280,2282,2284,2286,2289,2291,2293,2295,2297,2299,2301,2303,2305,2307,2309,2311,2313,2315,2317,2319,2321,2323,2325,2327,2329,2331,2333,2335,2337,2339,2341,2343,2345,2347,2349,2351,2353,2355,2357,2359,2361,2363,2365,2367,2369,2371,2373,2375,2377,2379,2382,2384,2386,2388,2390,2392,2394,2396,2398,2400,2402,2404,2406,2408,2410,2412,2414,2416,2418,2420,2422,2424,2426,2428,2430,2432,2434,2436,2438,2440,2442,2444,2446,2448,2450,2452,2454,2456,2458,2460,2462,2464,2466,2468,2470,2472,2474,2476,2478,2480,2482,2484,2486,2488,2490,2492,2494,2496,2498,2501,2503,2505,2507,2509,2511,2513,2515,2517,2519,2521,2523,2525,2527,2529,2531,2533,2535,2537,2539,2541,2544,2546,2548,2550,2552,2554,2556,2558,2560,2562,2564,2566,2568,2570,2572,2574,2576,2578,2580,2582,2584,2586,2588,2590,2592,2594,2596,2598,2600,2602,2604,2606,2608,2610,2612,2614,2616,2618,2620,2622,2624,2626,2628,2630,2632,2634,2636,2638,2640,2642,2644,2646,2648,2650,2652,2654,2656,2658,2660,2662,2664,2666,2668,2670,2672,2674,2676,2678,2680,2682,2684,2686,2688,2690,2692,2694,2696,2698,2700,2702,2704,2706,2708,2710,2712,2714,2716,2718,2720,2722,2724,2726,2728,2730,2732,2734,2736,2738,2740,2742,2744,2746,2748,2750,2752,2754,2756,2758,2760,2762,2764,2766,2768,2770,2772,2774,2776,2778,2780,2782,2784,2786,2788,2790,2792,2794,2796,2798,2800,2802,2804,2806,2808,2810,2812,2814,2816,2818,2820,2822,2824,2826,2828,2830,2832,2834,2836,2838,2840,2842,2844,2846,2848,2850,2852,2854,2856,2858,2860,2862,2864,2866,2868,2870,2872,2874,2876,2878,2880,2882,2884,2886,2888,2890,2892,2894,2896,2898,2900,2902,2904,2906,2908,2910,2912,2914,2916,2918,2920,2922,2924,2926,2928,2930,2932,2934,2936,2938,2940,2942,2944,2946,2948,2950,2952,2954,2956,2958,2960,2962,2964,2966,2968,2970,2972,2974,2976,2978,2980,2982,2984,2986,2988,2990,2992,2994,2996,2998,3000,3002,3004,3006,3008,3010,3012,3014,3016,3018,3020,3022,3024,3026,3028,3030,3032,3034,3036,3038,3040,3042,3044,3046,3048,3050,3052,3054,3056,3058,3060,3062,3064,3066,3068,3070,3072,3074,3076,3078,3080,3082,3084,3086,3088,3090,3092,3094,3096,3098,3100,3102,3104,3106,3108,3110,3112,3114,3116,3118,3120,3122,3124,3126,3128,3130,3132,3134,3136,3138,3140,3142,3144,3146,3148,3150,3152,3154,3156,3158,3160,3162,3164,3166,3168,3170,3172,3174,3176,3178,3180,3182,3185,3187,3189,3191,3193,3195,3197,3199,3201,3203,3205,3207,3209,3211,3213,3215,3217,3219,3221,3223,3225,3227,3229,3231,3233,3235,3237,3239,3241,3243,3245,3247,3249,3251,3253,3255,3257,3259,3261,3263,3265,3267,3269,3271,3273,3275,3277,3279,3281,3283,3285,3287,3289,3291,3293,3295,3297,3299,3301,3303,3305,3307,3309,3312,3314,3316,3318,3320,3322,3324,3326,3328,3330,3332,3334,3336,3338,3340,3342,3344,3346,3348,3350,3352,3354,3356,3358,3360,3362,3364,3366,3368,3370,3372,3374,3376,3378,3380,3382,3384,3386,3388,3390,3392,3394,3396,3398,3400,3402,3404,3406,3408,3410,3412,3414,3416,3418,3420,3422,3424,3426,3428,3430,3432,3434,3436,3438,3440,3442,3444,3446,3448,3450,3452,3454,3456,3458,3460,3462,3464,3466,3468,3470,3472,3474,3476,3478,3480,3482,3484,3486,3488,3490,3492,3494,3496,3498,3500,3502,3504,3506,3508,3510,3512,3514,3516,3518,3520,3522,3524,3526,3528,3530,3532,3534,3536,3538,3540,3542,3544,3546,3548,3550,3552,3554,3556,3558,3560,3562,3564,3566,3568,3570,3572,3574,3576,3578,3580,3582,3584,3586,3588,3590,3592,3594,3596,3598,3600,3602,3604,3606,3608,3610,3612,3614,3616,3618,3620,3622,3624,3626,3628,3630,3632,3634,3636,3638,3640,3642,3644,3646,3648,3650,3652,3654,3656,3658,3660,3662,3664,3666,3668,3670,3672,3674,3676,3678,3680,3682,3684,3686,3688,3690,3692,3694,3696,3698,3700,3702,3704,3706,3708,3710,3712,3714,3716,3718,3720,3722,3724,3726,3728,3730,3732,3734,3736,3738,3740,3742,3744,3746,3748,3750,3752,3754,3756,3758,3760,3762,3764,3766,3768,3770,3772,3774,3776,3778,3780,3782,3784,3786,3788,3790,3792,3794,3796,3798,3800,3802,3804,3806,3808,3810,3812,3814,3816,3818,3820,3822,3824,3826,3828,3830,3832,3834,3836,3838,3840,3842,3844,3846,3848,3850,3852,3854,3856,3858,3860,3862,3864,3866,3868,3870,3872,3874,3876,3878,3880,3882,3884,3886,3888,3890,3892,3894,3896,3898,3900,3902,3904,3906,3908,3910,3912,3914,3916,3918,3920,3922,3924,3926,3928,3930,3932,3934,3936,3938,3940,3942,3944,3946,3948,3950,3952,3954,3956,3958,3960,3962,3964,3966,3968,3970,3972,3974,3976,3978,3980,3982,3984,3986,3988,3990,3992,3994,3996,3998,4000,4002,4004,4006,4008,4010,4012,4014,4016,4018,4020,4022,4024,4026,4028,4030,4032,4034,4036,4038,4040,4042,4044,4046,4048,4050,4052,4054,4056,4058,4060,4062,4064,4066,4068,4070,4072,4074,4076,4078,4080,4082,4084,4086,4088,4090,4092,4094,4096,4098,4100,4102,4104,4106,4108,4110,4112,4114,4116,4118,4120,4122,4124,4126,4128,4130,4132,4134,4136,4138,4140,4142,4144,4146,4148,4150,4152,4154,4156,4158,4160,4162,4164,4166,4168,4170,4172,4174,4176,4178,4180,4182,4184,4186,4188,4190,4192,4194,4196,4198,4200,4202,4204,4206,4208,4210,4212,4214,4216,4218,4220,4222,4224,4226,4228,4230,4232,4234,4236,4238,4240,4242,4244,4246,4248,4250,4252,4254,4256,4258,4260,4262,4264,4266,4268,4270,4272,4274,4276,4278,4280,4282,4284,4286,4288,4290,4292,4294,4296,4298,4300,4302,4304,4306,4308,4310,4312,4314,4316,4318,4320,4322,4324,4326,4328,4330,4332,4334,4336,4338,4340,4342,4344,4346,4348,4350,4352,4354,4356,4358,4360,4362,4364,4366,4368,4370,4372,4374,4376,4378,4380,4382,4384,4386,4388,4390,4392,4394,4396,4398,4400,4402,4404,4406,4408,4410,4412,4414,4416,4418,4420,4422,4424,4426,4428,4430,4432,4434,4436,4438,4440,4442,4444,4446,4448,4450,4452,4454,4456,4458,4460,4462,4464,4466,4468,4470,4472,4474,4476,4478,4480,4482,4484,4486,4488,4490,4492,4494,4496,4498,4500,4502,4504,4506,4508,4510,4512,4514,4516,4518,4520,4522,4524,4526,4528,4530,4532,4534,4536,4538,4540,4542,4544,4546,4548,4550,4552,4554,4556,4558,4560,4562,4564,4566,4568,4570,4572,4574,4576,4578,4580,4582,4584,4586,4588,4590,4592,4594,4597,4599,4601,4603,4605,4607,4609,4611,4613,4615,4617,4619,4621,4623,4625,4627,4629,4631,4633,4635,4637,4639,4641,4643,4645,4647,4649,4651,4653,4655,4657,4659,4661,4663,4665,4667,4669,4671,4673,4675,4677,4679,4681,4683,4685,4687,4689,4691,4693,4695,4697,4699,4701,4703,4705,4707,4709,4711,4713,4715,4717,4719,4721,4723,4725,4727,4729,4731,4733,4735,4737,4739,4741,4743,4745,4747,4749,4751,4753,4755,4757,4759,4761,4763,4765,4767,4769,4771,4773,4775,4777,4779,4781,4783,4785,4787,4789,4791,4793,4795,4797,4799,4801,4803,4805,4807,4809,4811,4813,4815,4817,4819,4821,4823,4825,4827,4829,4831,4833,4835,4837,4839,4841,4843,4845,4847,4849,4851,4853,4855,4857,4859,4861,4863,4865,4867,4869,4871,4873,4875,4877,4879,4881,4883,4885,4887,4889,4891,4893,4895,4897,4899,4901,4903,4905,4907,4909,4911,4913,4915,4917,4919,4921,4923,4925,4927,4929,4931,4933,4935,4937,4939,4941,4943,4945,4947,4949,4951,4953,4955,4957,4959,4961,4963,4965,4967,4969,4971,4973,4975,4977,4979,4981,4983,4985,4987,4989,4991,4993,4995,4997,4999,5001,5003,5005,5007,5009,5011,5013,5015,5017,5019,5021,5023,5025,5027,5029,5031,5033,5035,5037,5039,5041,5043,5045,5047,5049,5051,5053,5055,5057,5059,5061,5063,5065,5067,5069,5071,5073,5075,5077,5079,5081,5083,5085,5087,5089,5091,5093,5095,5097,5099,5101,5103,5105,5107,5109,5111,5113,5115,5117,5119,5121,5123,5125,5127,5129,5131,5133,5135,5137,5139,5141,5143,5145,5147,5149,5151,5153,5155,5157,5159,5161,5163,5165,5167,5169,5171,5173,5175,5177,5179,5181,5183,5185,5187,5189,5191,5193,5195,5197,5199,5201,5203,5205,5207,5209,5211,5213,5215,5217,5219,5221,5223,5225,5227,5229,5231,5233,5235,5237,5239,5241,5243,5245,5247,5249,5251,5253,5255,5257,5259,5261,5263,5265,5267,5269,5271,5273,5275,5277,5279,5281,5283,5285,5287,5289,5291,5293,5295,5297,5299,5301,5303,5305,5307,5309,5311,5313,5315,5317,5319,5321,5323,5325,5327,5329,5331,5333,5335,5337,5339,5341,5343,5345,5347,5349,5351,5353,5355,5357,5359,5361,5363,5365,5367,5369,5371,5373,5375,5377,5379,5381,5383,5385,5387,5389,5391,5393,5395,5397,5399,5401,5403,5405,5407,5409,5411,5413,5415,5417,5419,5421,5423,5425,5427,5429,5431,5433,5435,5437,5439,5441,5443,5445,5447,5449,5451,5454,5456,5458,5460,5462,5464,5466,5468,5470,5472,5474,5476,5478,5480,5482,5484,5486,5488,5490,5492,5494,5496,5498,5500,5502,5504,5506,5508,5510,5512,5514,5516,5518,5520,5522,5524,5526,5528,5530,5532,5534,5536,5538,5540,5542,5544,5546,5548,5550,5552,5554,5556,5558,5560,5562,5564,5566,5568,5570,5572,5574,5576,5578,5580,5582,5584,5586,5588,5590,5592,5594,5596,5598,5600,5602,5604,5606,5608,5610,5612,5614,5616,5618,5620,5622,5624,5626,5628,5630,5632,5634,5636,5638,5640,5642,5644,5646,5648,5650,5652,5654,5657,5659,5661,5663,5665,5667,5669,5671,5673,5675,5677,5679,5681,5683,5685,5687,5689,5691,5693,5695,5697,5699,5701,5703,5705,5707,5709,5711,5713,5715,5717,5719,5721,5723,5725,5727,5729,5731,5733,5735,5737,5739,5741,5743,5745,5747,5749,5751,5753,5755,5757,5759,5761,5763,5765,5767,5769,5771,5773,5775,5777,5779,5781,5783,5785,5787,5789,5791,5793,5795,5797,5799,5801,5803,5805,5807,5809,5811,5813,5815,5817,5819,5821,5823,5825,5827,5829,5831,5833,5835,5837,5839,5841,5843,5845,5847,5849,5851,5853,5855,5857,5859,5861,5863,5865,5867,5869,5871,5873,5875,5877,5879,5881,5883,5885,5887,5889,5891,5893,5895,5897,5899,5901,5903,5905,5907,5909,5911,5913,5915,5917,5919,5921,5923,5925,5927,5929,5931,5933,5935,5937,5939,5941,5943,5945,5947,5949,5951,5953,5955,5957,5959,5961,5963,5965,5967,5969,5971,5973,5975,5977,5979,5981,5983,5985,5987,5989,5991,5993,5995,5997,5999,6001,6003,6005,6007,6009,6011,6013,6015,6017,6019,6021,6023,6025,6027,6029,6031,6033,6035,6037,6039,6041,6043,6045,6047,6049,6051,6053,6055,6057,6059,6061,6063,6065,6067,6069,6071,6073,6075,6077,6079,6081,6083,6085,6087,6089,6091,6093,6095,6097,6099,6101,6103,6105,6107,6109,6111,6113,6115,6117,6119,6121,6123,6125,6127,6129,6131,6133,6135,6137,6139,6141,6143,6145,6147,6149,6151,6153,6155,6157,6159,6161,6163,6165,6167,6169,6171,6173,6175,6177,6179,6181,6183,6185,6187,6189,6191,6193,6195,6197,6199,6201,6203,6205,6207,6209,6211,6213,6215,6217,6219,6221,6223,6225,6227,6229,6231,6233,6235,6237,6239,6241,6243,6245,6247,6249,6251,6253,6255,6257,6259,6261,6263,6265,6267,6269,6271,6273,6275,6277,6279,6281,6283,6285,6287,6289,6291,6293,6295,6297,6299,6301,6303,6305,6307,6309,6311,6313,6315,6317,6319,6321,6323,6325,6327,6329,6331,6333,6335,6337,6339,6341,6343,6345,6347,6349,6351,6353,6355,6357,6359,6361,6363,6365,6367,6369,6371,6373,6375,6377,6379,6381,6383,6385,6387,6389,6391,6393,6395,6397,6399,6401,6403,6405,6407,6409,6411,6413,6415,6417,6419,6421,6423,6425,6427,6429,6431,6433,6435,6437,6439,6441,6443,6445,6447,6449,6451,6453,6455,6457,6459,6461,6463,6465,6467,6469,6471,6473,6475,6477,6479,6481,6483,6485,6487,6489,6491,6493,6495,6497,6499,6501,6503,6505,6507,6509,6511,6513,6515,6517,6519,6521,6523,6525,6527,6529,6531,6533,6535,6537,6539,6541,6543,6545,6547,6549,6551,6553,6555,6557,6559,6561,6563,6565,6567,6569,6571,6573,6575,6577,6579,6581,6583,6585,6587,6589,6591,6593,6595,6597,6599,6601,6603,6605,6607,6609,6611,6613,6615,6617,6619,6621,6623,6625,6627,6629,6631,6633,6635,6637,6639,6641,6643,6645,6647,6649,6651,6653,6655,6657,6659,6661,6663,6665,6667,6669,6671,6673,6675,6677,6679,6681,6683,6685,6687,6689,6691,6693,6695,6697,6699,6701,6703,6705,6707,6709,6711,6713,6715,6717,6719,6721,6723,6725,6727,6729,6731,6733,6735,6737,6739,6741,6743,6745,6747,6749,6751,6753,6755,6757,6759,6761,6763,6765,6767,6769,6771,6773,6775,6777,6779,6781,6783,6785,6787,6789,6791,6793,6795,6797,6799,6801,6803,6805,6807,6809,6811,6813,6815,6817,6819,6821,6823,6825,6827,6829,6831,6833,6835,6837,6839,6841,6843,6845,6847,6849,6851,6853,6855,6857,6859,6861,6863,6865,6867,6869,6871,6873,6875,6877,6879,6881,6883,6885,6887,6889,6891,6893,6895,6897,6899,6901,6903,6905,6907,6909,6911,6913,6915,6917,6919,6921,6923,6925,6927,6929,6931,6933,6935,6937,6939,6941,6943,6945,6947,6949,6951,6953,6955,6957,6959,6961,6963,6965,6967,6969,6971,6973,6975,6977,6979,6981,6983,6985,6987,6989,6991,6993,6995,6997,6999,7001,7003,7005,7007,7009,7011,7013,7015,7017,7019,7021,7023,7025,7027,7029,7031,7033,7035,7037,7039,7041,7043,7045,7047,7049,7051,7053,7055,7057,7059,7061],{"categories":161},[162],"AI & LLMs",{"categories":164},[165],"Developer Productivity",{"categories":167},[162],{"categories":169},[170],"Business & SaaS",{"categories":172},[162],{"categories":174},[121],{"categories":176},[177],"Product Strategy",{"categories":179},[121],{"categories":181},[162],{"categories":183},[165],{"categories":185},[121],{"categories":187},[188],"Software Engineering",{"categories":190},[162],{"categories":192},[170],{"categories":194},[],{"categories":196},[162],{"categories":198},[199],"Inference & Serving",{"categories":201},[162],{"categories":203},[162],{"categories":205},[121],{"categories":207},[],{"categories":209},[210],"AI News & Trends",{"categories":212},[213],"Data Science & Visualization",{"categories":215},[121],{"categories":217},[162],{"categories":219},[162],{"categories":221},[170],{"categories":223},[165],{"categories":225},[162],{"categories":227},[121],{"categories":229},[210],{"categories":231},[162],{"categories":233},[121],{"categories":235},[121],{"categories":237},[162],{"categories":239},[162],{"categories":241},[121],{"categories":243},[162],{"categories":245},[162],{"categories":247},[162],{"categories":249},[121],{"categories":251},[210],{"categories":253},[162],{"categories":255},[162],{"categories":257},[162],{"categories":259},[],{"categories":261},[262],"Design & Frontend",{"categories":264},[213],{"categories":266},[210],{"categories":268},[162],{"categories":270},[162],{"categories":272},[162],{"categories":274},[],{"categories":276},[162],{"categories":278},[162],{"categories":280},[121],{"categories":282},[188],{"categories":284},[162],{"categories":286},[121],{"categories":288},[162],{"categories":290},[291],"Marketing & Growth",{"categories":293},[262],{"categories":295},[162],{"categories":297},[121],{"categories":299},[162],{"categories":301},[162],{"categories":303},[188],{"categories":305},[162],{"categories":307},[],{"categories":309},[],{"categories":311},[262],{"categories":313},[162],{"categories":315},[121],{"categories":317},[165],{"categories":319},[188],{"categories":321},[121],{"categories":323},[262],{"categories":325},[177],{"categories":327},[162],{"categories":329},[188],{"categories":331},[332],"DevOps & Cloud",{"categories":334},[121],{"categories":336},[177],{"categories":338},[210],{"categories":340},[162],{"categories":342},[],{"categories":344},[162],{"categories":346},[162],{"categories":348},[],{"categories":350},[121],{"categories":352},[188],{"categories":354},[],{"categories":356},[188],{"categories":358},[162],{"categories":360},[361],"Governance & Standards",{"categories":363},[170],{"categories":365},[],{"categories":367},[],{"categories":369},[162],{"categories":371},[162],{"categories":373},[121],{"categories":375},[162],{"categories":377},[162],{"categories":379},[121],{"categories":381},[162],{"categories":383},[162],{"categories":385},[162],{"categories":387},[],{"categories":389},[188],{"categories":391},[],{"categories":393},[],{"categories":395},[162],{"categories":397},[188],{"categories":399},[],{"categories":401},[188],{"categories":403},[162],{"categories":405},[162],{"categories":407},[291],{"categories":409},[162],{"categories":411},[162],{"categories":413},[162],{"categories":415},[262],{"categories":417},[262],{"categories":419},[162],{"categories":421},[188],{"categories":423},[121],{"categories":425},[426],"GovTech & Public-Sector Adoption",{"categories":428},[188],{"categories":430},[162],{"categories":432},[162],{"categories":434},[162],{"categories":436},[121],{"categories":438},[121],{"categories":440},[213],{"categories":442},[162],{"categories":444},[210],{"categories":446},[121],{"categories":448},[449],"Legal AI Tools",{"categories":451},[162],{"categories":453},[121],{"categories":455},[162],{"categories":457},[291],{"categories":459},[121],{"categories":461},[177],{"categories":463},[162],{"categories":465},[188],{"categories":467},[426],{"categories":469},[],{"categories":471},[121],{"categories":473},[],{"categories":475},[170],{"categories":477},[121],{"categories":479},[121],{"categories":481},[482],"RAG & Retrieval",{"categories":484},[170],{"categories":486},[162],{"categories":488},[188],{"categories":490},[188],{"categories":492},[332],{"categories":494},[262],{"categories":496},[121],{"categories":498},[162],{"categories":500},[162],{"categories":502},[],{"categories":504},[505],"Agents & Orchestration",{"categories":507},[188],{"categories":509},[162],{"categories":511},[],{"categories":513},[121],{"categories":515},[170],{"categories":517},[],{"categories":519},[162],{"categories":521},[],{"categories":523},[162],{"categories":525},[165],{"categories":527},[188],{"categories":529},[170],{"categories":531},[162],{"categories":533},[121],{"categories":535},[162],{"categories":537},[210],{"categories":539},[162],{"categories":541},[],{"categories":543},[162],{"categories":545},[],{"categories":547},[162],{"categories":549},[188],{"categories":551},[162],{"categories":553},[121],{"categories":555},[213],{"categories":557},[],{"categories":559},[162],{"categories":561},[262],{"categories":563},[564],"Models & Frontier Labs",{"categories":566},[],{"categories":568},[262],{"categories":570},[571],"Regulation & Governance of AI",{"categories":573},[177],{"categories":575},[121],{"categories":577},[],{"categories":579},[162],{"categories":581},[162],{"categories":583},[121],{"categories":585},[121],{"categories":587},[210],{"categories":589},[162],{"categories":591},[170],{"categories":593},[162],{"categories":595},[121],{"categories":597},[],{"categories":599},[188],{"categories":601},[121],{"categories":603},[162],{"categories":605},[177],{"categories":607},[162],{"categories":609},[610],"AI Policy & Regulation",{"categories":612},[],{"categories":614},[162],{"categories":616},[121],{"categories":618},[177],{"categories":620},[121],{"categories":622},[162],{"categories":624},[162],{"categories":626},[162],{"categories":628},[121],{"categories":630},[],{"categories":632},[213],{"categories":634},[635],"Evals & Reliability",{"categories":637},[162],{"categories":639},[162],{"categories":641},[],{"categories":643},[165],{"categories":645},[426],{"categories":647},[610],{"categories":649},[162],{"categories":651},[170],{"categories":653},[162],{"categories":655},[121],{"categories":657},[162],{"categories":659},[121],{"categories":661},[505],{"categories":663},[162],{"categories":665},[188],{"categories":667},[162],{"categories":669},[],{"categories":671},[262],{"categories":673},[],{"categories":675},[162],{"categories":677},[426],{"categories":679},[162],{"categories":681},[162],{"categories":683},[162],{"categories":685},[],{"categories":687},[162],{"categories":689},[262],{"categories":691},[188],{"categories":693},[],{"categories":695},[162],{"categories":697},[],{"categories":699},[121],{"categories":701},[162],{"categories":703},[262],{"categories":705},[],{"categories":707},[162],{"categories":709},[162],{"categories":711},[213],{"categories":713},[121],{"categories":715},[162],{"categories":717},[170],{"categories":719},[121],{"categories":721},[162],{"categories":723},[162],{"categories":725},[188],{"categories":727},[262],{"categories":729},[162],{"categories":731},[121],{"categories":733},[],{"categories":735},[188],{"categories":737},[121],{"categories":739},[213],{"categories":741},[],{"categories":743},[162],{"categories":745},[210],{"categories":747},[162],{"categories":749},[],{"categories":751},[162],{"categories":753},[162],{"categories":755},[162],{"categories":757},[170,291],{"categories":759},[],{"categories":761},[188],{"categories":763},[162],{"categories":765},[162],{"categories":767},[121],{"categories":769},[162],{"categories":771},[],{"categories":773},[],{"categories":775},[162],{"categories":777},[262],{"categories":779},[162],{"categories":781},[],{"categories":783},[162],{"categories":785},[332],{"categories":787},[],{"categories":789},[121],{"categories":791},[210],{"categories":793},[162],{"categories":795},[162],{"categories":797},[262],{"categories":799},[],{"categories":801},[210],{"categories":803},[162],{"categories":805},[199],{"categories":807},[162],{"categories":809},[162],{"categories":811},[121],{"categories":813},[210],{"categories":815},[564],{"categories":817},[162],{"categories":819},[291],{"categories":821},[],{"categories":823},[121],{"categories":825},[170],{"categories":827},[188],{"categories":829},[162],{"categories":831},[121],{"categories":833},[],{"categories":835},[162,332],{"categories":837},[162],{"categories":839},[162],{"categories":841},[162],{"categories":843},[121],{"categories":845},[162,188],{"categories":847},[213],{"categories":849},[162],{"categories":851},[162],{"categories":853},[162],{"categories":855},[188],{"categories":857},[162],{"categories":859},[121],{"categories":861},[121],{"categories":863},[610],{"categories":865},[291],{"categories":867},[162],{"categories":869},[121],{"categories":871},[162],{"categories":873},[162],{"categories":875},[121],{"categories":877},[],{"categories":879},[121],{"categories":881},[162],{"categories":883},[162],{"categories":885},[121],{"categories":887},[162],{"categories":889},[162,170],{"categories":891},[162],{"categories":893},[170],{"categories":895},[],{"categories":897},[262],{"categories":899},[262],{"categories":901},[162],{"categories":903},[],{"categories":905},[],{"categories":907},[162],{"categories":909},[210],{"categories":911},[],{"categories":913},[165],{"categories":915},[162],{"categories":917},[188],{"categories":919},[162],{"categories":921},[922],"Generative UI & Design-to-Code",{"categories":924},[162],{"categories":926},[162],{"categories":928},[262],{"categories":930},[162],{"categories":932},[933],"Algorithmic Accountability",{"categories":935},[121],{"categories":937},[188],{"categories":939},[210],{"categories":941},[262],{"categories":943},[162],{"categories":945},[],{"categories":947},[177],{"categories":949},[162],{"categories":951},[162],{"categories":953},[162],{"categories":955},[162],{"categories":957},[121],{"categories":959},[960],"MLOps & Infrastructure",{"categories":962},[162],{"categories":964},[162],{"categories":966},[162],{"categories":968},[162],{"categories":970},[162],{"categories":972},[188],{"categories":974},[210],{"categories":976},[162],{"categories":978},[177],{"categories":980},[165],{"categories":982},[162],{"categories":984},[121],{"categories":986},[332],{"categories":988},[162],{"categories":990},[170],{"categories":992},[162],{"categories":994},[262],{"categories":996},[162],{"categories":998},[162],{"categories":1000},[121],{"categories":1002},[],{"categories":1004},[],{"categories":1006},[162],{"categories":1008},[199],{"categories":1010},[262],{"categories":1012},[210],{"categories":1014},[213],{"categories":1016},[],{"categories":1018},[162],{"categories":1020},[162],{"categories":1022},[170],{"categories":1024},[121],{"categories":1026},[162],{"categories":1028},[162],{"categories":1030},[162],{"categories":1032},[162],{"categories":1034},[210],{"categories":1036},[199],{"categories":1038},[162],{"categories":1040},[262],{"categories":1042},[162],{"categories":1044},[],{"categories":1046},[121],{"categories":1048},[188],{"categories":1050},[],{"categories":1052},[162],{"categories":1054},[162],{"categories":1056},[121],{"categories":1058},[188],{"categories":1060},[162],{"categories":1062},[213],{"categories":1064},[262],{"categories":1066},[],{"categories":1068},[162],{"categories":1070},[],{"categories":1072},[162],{"categories":1074},[],{"categories":1076},[162],{"categories":1078},[162],{"categories":1080},[177],{"categories":1082},[170],{"categories":1084},[121],{"categories":1086},[121],{"categories":1088},[],{"categories":1090},[162],{"categories":1092},[165],{"categories":1094},[162],{"categories":1096},[162],{"categories":1098},[170],{"categories":1100},[210],{"categories":1102},[165],{"categories":1104},[],{"categories":1106},[162],{"categories":1108},[],{"categories":1110},[162],{"categories":1112},[],{"categories":1114},[210],{"categories":1116},[210],{"categories":1118},[],{"categories":1120},[505],{"categories":1122},[162],{"categories":1124},[262],{"categories":1126},[188],{"categories":1128},[],{"categories":1130},[449],{"categories":1132},[121],{"categories":1134},[170],{"categories":1136},[],{"categories":1138},[],{"categories":1140},[165],{"categories":1142},[213],{"categories":1144},[],{"categories":1146},[291],{"categories":1148},[121],{"categories":1150},[170],{"categories":1152},[121],{"categories":1154},[162],{"categories":1156},[170],{"categories":1158},[162],{"categories":1160},[188],{"categories":1162},[],{"categories":1164},[199],{"categories":1166},[177],{"categories":1168},[162],{"categories":1170},[262],{"categories":1172},[188],{"categories":1174},[170],{"categories":1176},[162],{"categories":1178},[188],{"categories":1180},[162],{"categories":1182},[121],{"categories":1184},[170],{"categories":1186},[162],{"categories":1188},[162],{"categories":1190},[162],{"categories":1192},[162],{"categories":1194},[162],{"categories":1196},[],{"categories":1198},[],{"categories":1200},[188],{"categories":1202},[213],{"categories":1204},[177],{"categories":1206},[162],{"categories":1208},[121],{"categories":1210},[188],{"categories":1212},[188],{"categories":1214},[162],{"categories":1216},[],{"categories":1218},[210],{"categories":1220},[177],{"categories":1222},[177],{"categories":1224},[188],{"categories":1226},[162],{"categories":1228},[635],{"categories":1230},[332],{"categories":1232},[],{"categories":1234},[121],{"categories":1236},[162],{"categories":1238},[],{"categories":1240},[165],{"categories":1242},[],{"categories":1244},[162],{"categories":1246},[162],{"categories":1248},[162],{"categories":1250},[262],{"categories":1252},[291],{"categories":1254},[162],{"categories":1256},[188],{"categories":1258},[162],{"categories":1260},[121],{"categories":1262},[],{"categories":1264},[188],{"categories":1266},[162],{"categories":1268},[165],{"categories":1270},[],{"categories":1272},[170],{"categories":1274},[162],{"categories":1276},[162],{"categories":1278},[210],{"categories":1280},[162,332],{"categories":1282},[162],{"categories":1284},[1285],"Design Systems for AI",{"categories":1287},[162],{"categories":1289},[162],{"categories":1291},[210],{"categories":1293},[162],{"categories":1295},[162],{"categories":1297},[162],{"categories":1299},[170],{"categories":1301},[162],{"categories":1303},[162],{"categories":1305},[162],{"categories":1307},[],{"categories":1309},[162],{"categories":1311},[162],{"categories":1313},[170],{"categories":1315},[162],{"categories":1317},[],{"categories":1319},[121],{"categories":1321},[121],{"categories":1323},[188],{"categories":1325},[210],{"categories":1327},[188],{"categories":1329},[162],{"categories":1331},[262],{"categories":1333},[210],{"categories":1335},[213],{"categories":1337},[162],{"categories":1339},[162],{"categories":1341},[121],{"categories":1343},[165],{"categories":1345},[610],{"categories":1347},[162],{"categories":1349},[121],{"categories":1351},[162],{"categories":1353},[188],{"categories":1355},[188],{"categories":1357},[],{"categories":1359},[],{"categories":1361},[162],{"categories":1363},[121],{"categories":1365},[177],{"categories":1367},[],{"categories":1369},[170],{"categories":1371},[162],{"categories":1373},[],{"categories":1375},[262],{"categories":1377},[188],{"categories":1379},[121],{"categories":1381},[188],{"categories":1383},[262],{"categories":1385},[162],{"categories":1387},[162],{"categories":1389},[262],{"categories":1391},[],{"categories":1393},[],{"categories":1395},[210],{"categories":1397},[121],{"categories":1399},[121],{"categories":1401},[162],{"categories":1403},[162],{"categories":1405},[162],{"categories":1407},[162],{"categories":1409},[170],{"categories":1411},[162],{"categories":1413},[162],{"categories":1415},[],{"categories":1417},[188],{"categories":1419},[188],{"categories":1421},[162],{"categories":1423},[188],{"categories":1425},[170],{"categories":1427},[],{"categories":1429},[162],{"categories":1431},[162],{"categories":1433},[162],{"categories":1435},[162],{"categories":1437},[162],{"categories":1439},[121],{"categories":1441},[165],{"categories":1443},[170],{"categories":1445},[162],{"categories":1447},[121],{"categories":1449},[210],{"categories":1451},[121],{"categories":1453},[199],{"categories":1455},[291],{"categories":1457},[162],{"categories":1459},[121],{"categories":1461},[162],{"categories":1463},[162],{"categories":1465},[162],{"categories":1467},[],{"categories":1469},[262],{"categories":1471},[],{"categories":1473},[162],{"categories":1475},[162],{"categories":1477},[],{"categories":1479},[162],{"categories":1481},[188],{"categories":1483},[170],{"categories":1485},[1486],"Visual & Generative Media",{"categories":1488},[121],{"categories":1490},[],{"categories":1492},[162],{"categories":1494},[162],{"categories":1496},[188],{"categories":1498},[332],{"categories":1500},[162],{"categories":1502},[213],{"categories":1504},[610],{"categories":1506},[188],{"categories":1508},[291],{"categories":1510},[162],{"categories":1512},[262],{"categories":1514},[162],{"categories":1516},[162],{"categories":1518},[188],{"categories":1520},[121],{"categories":1522},[162],{"categories":1524},[],{"categories":1526},[],{"categories":1528},[121],{"categories":1530},[188],{"categories":1532},[165],{"categories":1534},[121],{"categories":1536},[564],{"categories":1538},[162],{"categories":1540},[177],{"categories":1542},[162],{"categories":1544},[170],{"categories":1546},[],{"categories":1548},[162],{"categories":1550},[177],{"categories":1552},[162],{"categories":1554},[162],{"categories":1556},[162],{"categories":1558},[177],{"categories":1560},[162],{"categories":1562},[162],{"categories":1564},[291],{"categories":1566},[162],{"categories":1568},[505],{"categories":1570},[162],{"categories":1572},[121],{"categories":1574},[162],{"categories":1576},[162],{"categories":1578},[162],{"categories":1580},[162],{"categories":1582},[262],{"categories":1584},[121],{"categories":1586},[],{"categories":1588},[121],{"categories":1590},[],{"categories":1592},[332],{"categories":1594},[188],{"categories":1596},[],{"categories":1598},[564],{"categories":1600},[162],{"categories":1602},[121],{"categories":1604},[121],{"categories":1606},[162],{"categories":1608},[262,162],{"categories":1610},[165],{"categories":1612},[162],{"categories":1614},[262],{"categories":1616},[],{"categories":1618},[162],{"categories":1620},[165],{"categories":1622},[162],{"categories":1624},[1625],"Medical Imaging & Radiology",{"categories":1627},[162],{"categories":1629},[162],{"categories":1631},[162],{"categories":1633},[262],{"categories":1635},[121],{"categories":1637},[188],{"categories":1639},[],{"categories":1641},[162],{"categories":1643},[162],{"categories":1645},[162],{"categories":1647},[],{"categories":1649},[],{"categories":1651},[162],{"categories":1653},[162],{"categories":1655},[505],{"categories":1657},[162],{"categories":1659},[165],{"categories":1661},[162],{"categories":1663},[162],{"categories":1665},[],{"categories":1667},[121],{"categories":1669},[162],{"categories":1671},[177],{"categories":1673},[188],{"categories":1675},[162],{"categories":1677},[121],{"categories":1679},[505],{"categories":1681},[162],{"categories":1683},[121],{"categories":1685},[162],{"categories":1687},[162],{"categories":1689},[162],{"categories":1691},[262],{"categories":1693},[121],{"categories":1695},[332],{"categories":1697},[262],{"categories":1699},[170],{"categories":1701},[121],{"categories":1703},[210],{"categories":1705},[162],{"categories":1707},[162],{"categories":1709},[177],{"categories":1711},[162],{"categories":1713},[162],{"categories":1715},[162],{"categories":1717},[162],{"categories":1719},[121],{"categories":1721},[162],{"categories":1723},[188],{"categories":1725},[188],{"categories":1727},[162],{"categories":1729},[177],{"categories":1731},[],{"categories":1733},[210],{"categories":1735},[],{"categories":1737},[177],{"categories":1739},[121],{"categories":1741},[162],{"categories":1743},[121],{"categories":1745},[1285],{"categories":1747},[1285],{"categories":1749},[262],{"categories":1751},[162],{"categories":1753},[162],{"categories":1755},[162],{"categories":1757},[121],{"categories":1759},[188],{"categories":1761},[262],{"categories":1763},[121],{"categories":1765},[210],{"categories":1767},[],{"categories":1769},[162],{"categories":1771},[],{"categories":1773},[162],{"categories":1775},[162],{"categories":1777},[162],{"categories":1779},[162],{"categories":1781},[121],{"categories":1783},[1784],"Contract Review & E-Discovery",{"categories":1786},[162],{"categories":1788},[262],{"categories":1790},[162],{"categories":1792},[165],{"categories":1794},[162],{"categories":1796},[210],{"categories":1798},[162],{"categories":1800},[162],{"categories":1802},[291],{"categories":1804},[188],{"categories":1806},[162],{"categories":1808},[162],{"categories":1810},[121],{"categories":1812},[121],{"categories":1814},[933],{"categories":1816},[162],{"categories":1818},[162],{"categories":1820},[121],{"categories":1822},[121],{"categories":1824},[162],{"categories":1826},[162],{"categories":1828},[162],{"categories":1830},[121],{"categories":1832},[162],{"categories":1834},[162],{"categories":1836},[505],{"categories":1838},[482],{"categories":1840},[162],{"categories":1842},[121],{"categories":1844},[162],{"categories":1846},[1847],"Law-Firm Practice & Adoption",{"categories":1849},[162],{"categories":1851},[121],{"categories":1853},[262],{"categories":1855},[162],{"categories":1857},[162],{"categories":1859},[162],{"categories":1861},[],{"categories":1863},[],{"categories":1865},[188],{"categories":1867},[162],{"categories":1869},[],{"categories":1871},[121],{"categories":1873},[165],{"categories":1875},[332],{"categories":1877},[162],{"categories":1879},[],{"categories":1881},[165],{"categories":1883},[170],{"categories":1885},[162],{"categories":1887},[291],{"categories":1889},[],{"categories":1891},[170],{"categories":1893},[121],{"categories":1895},[170],{"categories":1897},[],{"categories":1899},[162],{"categories":1901},[177],{"categories":1903},[162],{"categories":1905},[188],{"categories":1907},[],{"categories":1909},[],{"categories":1911},[],{"categories":1913},[],{"categories":1915},[162],{"categories":1917},[177],{"categories":1919},[121],{"categories":1921},[332],{"categories":1923},[162],{"categories":1925},[165],{"categories":1927},[188],{"categories":1929},[162],{"categories":1931},[162],{"categories":1933},[188],{"categories":1935},[177],{"categories":1937},[162],{"categories":1939},[162],{"categories":1941},[162],{"categories":1943},[960],{"categories":1945},[162],{"categories":1947},[188],{"categories":1949},[162],{"categories":1951},[291],{"categories":1953},[188],{"categories":1955},[170],{"categories":1957},[162],{"categories":1959},[162],{"categories":1961},[162],{"categories":1963},[262],{"categories":1965},[162],{"categories":1967},[162],{"categories":1969},[162],{"categories":1971},[162],{"categories":1973},[170],{"categories":1975},[121],{"categories":1977},[162,165],{"categories":1979},[505],{"categories":1981},[162],{"categories":1983},[162],{"categories":1985},[188],{"categories":1987},[188],{"categories":1989},[262],{"categories":1991},[121],{"categories":1993},[121],{"categories":1995},[188],{"categories":1997},[162],{"categories":1999},[162],{"categories":2001},[162],{"categories":2003},[],{"categories":2005},[],{"categories":2007},[162],{"categories":2009},[213],{"categories":2011},[162],{"categories":2013},[121],{"categories":2015},[],{"categories":2017},[162],{"categories":2019},[162],{"categories":2021},[188],{"categories":2023},[213],{"categories":2025},[210],{"categories":2027},[262],{"categories":2029},[162],{"categories":2031},[121],{"categories":2033},[162],{"categories":2035},[188],{"categories":2037},[],{"categories":2039},[121],{"categories":2041},[162],{"categories":2043},[162],{"categories":2045},[162],{"categories":2047},[162],{"categories":2049},[],{"categories":2051},[121],{"categories":2053},[162],{"categories":2055},[162],{"categories":2057},[162],{"categories":2059},[],{"categories":2061},[121],{"categories":2063},[162],{"categories":2065},[162],{"categories":2067},[170],{"categories":2069},[162],{"categories":2071},[162],{"categories":2073},[],{"categories":2075},[165],{"categories":2077},[162],{"categories":2079},[162],{"categories":2081},[162],{"categories":2083},[262],{"categories":2085},[162],{"categories":2087},[188],{"categories":2089},[162],{"categories":2091},[165],{"categories":2093},[162],{"categories":2095},[188],{"categories":2097},[291],{"categories":2099},[121],{"categories":2101},[121],{"categories":2103},[162],{"categories":2105},[162],{"categories":2107},[162,262],{"categories":2109},[162],{"categories":2111},[121],{"categories":2113},[210],{"categories":2115},[162],{"categories":2117},[210],{"categories":2119},[121],{"categories":2121},[262],{"categories":2123},[162],{"categories":2125},[],{"categories":2127},[188],{"categories":2129},[332],{"categories":2131},[262],{"categories":2133},[188],{"categories":2135},[162],{"categories":2137},[177],{"categories":2139},[162],{"categories":2141},[162],{"categories":2143},[121],{"categories":2145},[],{"categories":2147},[],{"categories":2149},[162],{"categories":2151},[],{"categories":2153},[],{"categories":2155},[177],{"categories":2157},[188],{"categories":2159},[162],{"categories":2161},[121],{"categories":2163},[121],{"categories":2165},[170],{"categories":2167},[121],{"categories":2169},[332],{"categories":2171},[162],{"categories":2173},[162],{"categories":2175},[162],{"categories":2177},[199],{"categories":2179},[162],{"categories":2181},[162],{"categories":2183},[162],{"categories":2185},[188],{"categories":2187},[121],{"categories":2189},[162],{"categories":2191},[162],{"categories":2193},[188],{"categories":2195},[449],{"categories":2197},[121],{"categories":2199},[933],{"categories":2201},[],{"categories":2203},[262],{"categories":2205},[1847],{"categories":2207},[188],{"categories":2209},[],{"categories":2211},[],{"categories":2213},[162],{"categories":2215},[121],{"categories":2217},[],{"categories":2219},[],{"categories":2221},[162],{"categories":2223},[291],{"categories":2225},[162],{"categories":2227},[291],{"categories":2229},[121],{"categories":2231},[162],{"categories":2233},[162],{"categories":2235},[188],{"categories":2237},[177],{"categories":2239},[],{"categories":2241},[162],{"categories":2243},[162],{"categories":2245},[188],{"categories":2247},[1784],{"categories":2249},[262],{"categories":2251},[262],{"categories":2253},[162],{"categories":2255},[121],{"categories":2257},[165],{"categories":2259},[162],{"categories":2261},[162],{"categories":2263},[162],{"categories":2265},[162],{"categories":2267},[262],{"categories":2269},[262],{"categories":2271},[121],{"categories":2273},[121],{"categories":2275},[121],{"categories":2277},[162],{"categories":2279},[162],{"categories":2281},[],{"categories":2283},[162],{"categories":2285},[],{"categories":2287},[2288],"Interaction & Product Design",{"categories":2290},[162],{"categories":2292},[121],{"categories":2294},[188],{"categories":2296},[361],{"categories":2298},[210],{"categories":2300},[188],{"categories":2302},[162],{"categories":2304},[162],{"categories":2306},[162],{"categories":2308},[188],{"categories":2310},[162],{"categories":2312},[165],{"categories":2314},[121],{"categories":2316},[162],{"categories":2318},[],{"categories":2320},[121],{"categories":2322},[121],{"categories":2324},[121],{"categories":2326},[],{"categories":2328},[188],{"categories":2330},[162],{"categories":2332},[121],{"categories":2334},[165],{"categories":2336},[2288],{"categories":2338},[162],{"categories":2340},[165],{"categories":2342},[165],{"categories":2344},[],{"categories":2346},[121],{"categories":2348},[188],{"categories":2350},[],{"categories":2352},[121],{"categories":2354},[210],{"categories":2356},[162],{"categories":2358},[121],{"categories":2360},[162],{"categories":2362},[121],{"categories":2364},[121],{"categories":2366},[162],{"categories":2368},[162],{"categories":2370},[210],{"categories":2372},[213],{"categories":2374},[162],{"categories":2376},[177],{"categories":2378},[188],{"categories":2380},[2381],"Coding Agents & Dev Productivity",{"categories":2383},[210],{"categories":2385},[262],{"categories":2387},[162],{"categories":2389},[162],{"categories":2391},[],{"categories":2393},[162],{"categories":2395},[933],{"categories":2397},[],{"categories":2399},[162],{"categories":2401},[162],{"categories":2403},[332],{"categories":2405},[162],{"categories":2407},[210],{"categories":2409},[],{"categories":2411},[],{"categories":2413},[162],{"categories":2415},[],{"categories":2417},[121],{"categories":2419},[162],{"categories":2421},[],{"categories":2423},[188],{"categories":2425},[188],{"categories":2427},[162],{"categories":2429},[213],{"categories":2431},[],{"categories":2433},[162],{"categories":2435},[162],{"categories":2437},[162],{"categories":2439},[213],{"categories":2441},[188],{"categories":2443},[121],{"categories":2445},[],{"categories":2447},[],{"categories":2449},[162],{"categories":2451},[162],{"categories":2453},[121],{"categories":2455},[121],{"categories":2457},[426],{"categories":2459},[188],{"categories":2461},[188],{"categories":2463},[121],{"categories":2465},[210],{"categories":2467},[210],{"categories":2469},[121],{"categories":2471},[121],{"categories":2473},[162],{"categories":2475},[165],{"categories":2477},[2288],{"categories":2479},[177],{"categories":2481},[162,332],{"categories":2483},[213],{"categories":2485},[],{"categories":2487},[262],{"categories":2489},[121],{"categories":2491},[188],{"categories":2493},[165],{"categories":2495},[162],{"categories":2497},[121],{"categories":2499},[2500],"The Designer's Role & Craft",{"categories":2502},[262],{"categories":2504},[],{"categories":2506},[121],{"categories":2508},[162],{"categories":2510},[121],{"categories":2512},[121],{"categories":2514},[162],{"categories":2516},[291],{"categories":2518},[162],{"categories":2520},[188],{"categories":2522},[162],{"categories":2524},[262],{"categories":2526},[162],{"categories":2528},[],{"categories":2530},[121],{"categories":2532},[262],{"categories":2534},[177],{"categories":2536},[162],{"categories":2538},[162],{"categories":2540},[162],{"categories":2542},[2543],"AI UX Patterns",{"categories":2545},[121],{"categories":2547},[121],{"categories":2549},[121],{"categories":2551},[121],{"categories":2553},[291],{"categories":2555},[213],{"categories":2557},[162],{"categories":2559},[121],{"categories":2561},[162],{"categories":2563},[1285],{"categories":2565},[],{"categories":2567},[291],{"categories":2569},[121],{"categories":2571},[210],{"categories":2573},[188],{"categories":2575},[162],{"categories":2577},[121],{"categories":2579},[],{"categories":2581},[],{"categories":2583},[162],{"categories":2585},[162],{"categories":2587},[121],{"categories":2589},[162],{"categories":2591},[121],{"categories":2593},[426],{"categories":2595},[262],{"categories":2597},[162],{"categories":2599},[210],{"categories":2601},[188],{"categories":2603},[162],{"categories":2605},[121],{"categories":2607},[121],{"categories":2609},[],{"categories":2611},[162],{"categories":2613},[],{"categories":2615},[162],{"categories":2617},[],{"categories":2619},[162],{"categories":2621},[162],{"categories":2623},[162],{"categories":2625},[121],{"categories":2627},[188],{"categories":2629},[],{"categories":2631},[],{"categories":2633},[213],{"categories":2635},[199],{"categories":2637},[162],{"categories":2639},[162],{"categories":2641},[162],{"categories":2643},[213],{"categories":2645},[162],{"categories":2647},[162],{"categories":2649},[210],{"categories":2651},[162],{"categories":2653},[162],{"categories":2655},[162],{"categories":2657},[121],{"categories":2659},[162],{"categories":2661},[121],{"categories":2663},[162],{"categories":2665},[162],{"categories":2667},[162],{"categories":2669},[121],{"categories":2671},[],{"categories":2673},[162],{"categories":2675},[],{"categories":2677},[162],{"categories":2679},[162],{"categories":2681},[332],{"categories":2683},[162],{"categories":2685},[],{"categories":2687},[],{"categories":2689},[262],{"categories":2691},[960],{"categories":2693},[121],{"categories":2695},[165],{"categories":2697},[2500],{"categories":2699},[],{"categories":2701},[],{"categories":2703},[162],{"categories":2705},[],{"categories":2707},[],{"categories":2709},[188],{"categories":2711},[210],{"categories":2713},[291],{"categories":2715},[121],{"categories":2717},[170],{"categories":2719},[162],{"categories":2721},[162],{"categories":2723},[170],{"categories":2725},[],{"categories":2727},[262],{"categories":2729},[177],{"categories":2731},[162],{"categories":2733},[162],{"categories":2735},[121],{"categories":2737},[170],{"categories":2739},[162],{"categories":2741},[162],{"categories":2743},[165],{"categories":2745},[162],{"categories":2747},[162],{"categories":2749},[],{"categories":2751},[165],{"categories":2753},[162],{"categories":2755},[291],{"categories":2757},[121],{"categories":2759},[210],{"categories":2761},[162],{"categories":2763},[188],{"categories":2765},[162],{"categories":2767},[162],{"categories":2769},[170],{"categories":2771},[162],{"categories":2773},[162],{"categories":2775},[162],{"categories":2777},[121],{"categories":2779},[162],{"categories":2781},[],{"categories":2783},[162],{"categories":2785},[188],{"categories":2787},[165],{"categories":2789},[162],{"categories":2791},[162],{"categories":2793},[162],{"categories":2795},[],{"categories":2797},[162],{"categories":2799},[505],{"categories":2801},[121],{"categories":2803},[170],{"categories":2805},[210],{"categories":2807},[162],{"categories":2809},[162],{"categories":2811},[],{"categories":2813},[170],{"categories":2815},[170],{"categories":2817},[162],{"categories":2819},[162],{"categories":2821},[177],{"categories":2823},[162],{"categories":2825},[162],{"categories":2827},[162],{"categories":2829},[162],{"categories":2831},[188],{"categories":2833},[188],{"categories":2835},[162],{"categories":2837},[],{"categories":2839},[188],{"categories":2841},[162],{"categories":2843},[188],{"categories":2845},[121],{"categories":2847},[610],{"categories":2849},[],{"categories":2851},[],{"categories":2853},[162],{"categories":2855},[210],{"categories":2857},[],{"categories":2859},[332],{"categories":2861},[162],{"categories":2863},[162],{"categories":2865},[162],{"categories":2867},[262],{"categories":2869},[922],{"categories":2871},[],{"categories":2873},[162],{"categories":2875},[162],{"categories":2877},[162],{"categories":2879},[188],{"categories":2881},[162],{"categories":2883},[162],{"categories":2885},[162,332],{"categories":2887},[162],{"categories":2889},[162],{"categories":2891},[262],{"categories":2893},[121],{"categories":2895},[],{"categories":2897},[121],{"categories":2899},[121],{"categories":2901},[162],{"categories":2903},[162],{"categories":2905},[162],{"categories":2907},[162],{"categories":2909},[213],{"categories":2911},[162],{"categories":2913},[2543],{"categories":2915},[165],{"categories":2917},[213],{"categories":2919},[165],{"categories":2921},[188],{"categories":2923},[262],{"categories":2925},[121],{"categories":2927},[162],{"categories":2929},[],{"categories":2931},[170],{"categories":2933},[162],{"categories":2935},[162],{"categories":2937},[210],{"categories":2939},[162],{"categories":2941},[162],{"categories":2943},[162],{"categories":2945},[121],{"categories":2947},[162],{"categories":2949},[162],{"categories":2951},[162],{"categories":2953},[170],{"categories":2955},[],{"categories":2957},[332],{"categories":2959},[162],{"categories":2961},[426],{"categories":2963},[262],{"categories":2965},[262],{"categories":2967},[188],{"categories":2969},[121],{"categories":2971},[162],{"categories":2973},[170],{"categories":2975},[210],{"categories":2977},[162],{"categories":2979},[162],{"categories":2981},[162],{"categories":2983},[262],{"categories":2985},[121],{"categories":2987},[121],{"categories":2989},[162],{"categories":2991},[162],{"categories":2993},[564],{"categories":2995},[121],{"categories":2997},[],{"categories":2999},[162],{"categories":3001},[162],{"categories":3003},[162],{"categories":3005},[],{"categories":3007},[],{"categories":3009},[162],{"categories":3011},[162],{"categories":3013},[121],{"categories":3015},[162],{"categories":3017},[162],{"categories":3019},[162],{"categories":3021},[188],{"categories":3023},[162],{"categories":3025},[162],{"categories":3027},[121],{"categories":3029},[162],{"categories":3031},[162],{"categories":3033},[162],{"categories":3035},[162],{"categories":3037},[162],{"categories":3039},[],{"categories":3041},[188],{"categories":3043},[213],{"categories":3045},[162],{"categories":3047},[121],{"categories":3049},[121],{"categories":3051},[162],{"categories":3053},[162],{"categories":3055},[],{"categories":3057},[],{"categories":3059},[162],{"categories":3061},[162],{"categories":3063},[162],{"categories":3065},[210],{"categories":3067},[213],{"categories":3069},[],{"categories":3071},[162],{"categories":3073},[262],{"categories":3075},[162],{"categories":3077},[332],{"categories":3079},[1847],{"categories":3081},[210],{"categories":3083},[188],{"categories":3085},[162],{"categories":3087},[188],{"categories":3089},[188],{"categories":3091},[162],{"categories":3093},[162],{"categories":3095},[188],{"categories":3097},[210],{"categories":3099},[210],{"categories":3101},[332],{"categories":3103},[121],{"categories":3105},[],{"categories":3107},[210],{"categories":3109},[162],{"categories":3111},[121],{"categories":3113},[165],{"categories":3115},[188],{"categories":3117},[162],{"categories":3119},[210],{"categories":3121},[],{"categories":3123},[162],{"categories":3125},[188],{"categories":3127},[188],{"categories":3129},[213],{"categories":3131},[162],{"categories":3133},[210],{"categories":3135},[162],{"categories":3137},[188],{"categories":3139},[121],{"categories":3141},[121],{"categories":3143},[210],{"categories":3145},[121],{"categories":3147},[332],{"categories":3149},[121],{"categories":3151},[162],{"categories":3153},[162],{"categories":3155},[162],{"categories":3157},[162],{"categories":3159},[188],{"categories":3161},[162],{"categories":3163},[],{"categories":3165},[121],{"categories":3167},[170],{"categories":3169},[188],{"categories":3171},[],{"categories":3173},[],{"categories":3175},[162],{"categories":3177},[121],{"categories":3179},[162],{"categories":3181},[162],{"categories":3183},[3184],"Frameworks & Tooling",{"categories":3186},[162],{"categories":3188},[162],{"categories":3190},[188],{"categories":3192},[162],{"categories":3194},[162],{"categories":3196},[],{"categories":3198},[213],{"categories":3200},[213],{"categories":3202},[165],{"categories":3204},[162],{"categories":3206},[121],{"categories":3208},[162],{"categories":3210},[262],{"categories":3212},[],{"categories":3214},[1847],{"categories":3216},[162],{"categories":3218},[188],{"categories":3220},[162],{"categories":3222},[332],{"categories":3224},[332],{"categories":3226},[],{"categories":3228},[121],{"categories":3230},[121],{"categories":3232},[162],{"categories":3234},[162],{"categories":3236},[210],{"categories":3238},[121],{"categories":3240},[210],{"categories":3242},[162],{"categories":3244},[121],{"categories":3246},[],{"categories":3248},[262],{"categories":3250},[162],{"categories":3252},[162],{"categories":3254},[],{"categories":3256},[162],{"categories":3258},[121],{"categories":3260},[162],{"categories":3262},[162],{"categories":3264},[162],{"categories":3266},[],{"categories":3268},[188],{"categories":3270},[162],{"categories":3272},[188],{"categories":3274},[332],{"categories":3276},[162],{"categories":3278},[162],{"categories":3280},[162],{"categories":3282},[188],{"categories":3284},[170],{"categories":3286},[162],{"categories":3288},[1847],{"categories":3290},[],{"categories":3292},[121],{"categories":3294},[165],{"categories":3296},[162],{"categories":3298},[165],{"categories":3300},[162],{"categories":3302},[],{"categories":3304},[121],{"categories":3306},[162],{"categories":3308},[162],{"categories":3310},[3311],"AI Design Tooling",{"categories":3313},[262],{"categories":3315},[162],{"categories":3317},[162],{"categories":3319},[188],{"categories":3321},[262],{"categories":3323},[162],{"categories":3325},[162],{"categories":3327},[188],{"categories":3329},[210],{"categories":3331},[177],{"categories":3333},[188],{"categories":3335},[162],{"categories":3337},[162],{"categories":3339},[162],{"categories":3341},[121],{"categories":3343},[162],{"categories":3345},[],{"categories":3347},[121],{"categories":3349},[162],{"categories":3351},[162],{"categories":3353},[121],{"categories":3355},[162],{"categories":3357},[162],{"categories":3359},[162],{"categories":3361},[121],{"categories":3363},[],{"categories":3365},[121],{"categories":3367},[3184],{"categories":3369},[162],{"categories":3371},[162],{"categories":3373},[121],{"categories":3375},[121],{"categories":3377},[188],{"categories":3379},[188],{"categories":3381},[162],{"categories":3383},[],{"categories":3385},[188],{"categories":3387},[162],{"categories":3389},[162],{"categories":3391},[121],{"categories":3393},[170],{"categories":3395},[162],{"categories":3397},[],{"categories":3399},[162],{"categories":3401},[162],{"categories":3403},[2288],{"categories":3405},[],{"categories":3407},[162],{"categories":3409},[162],{"categories":3411},[162],{"categories":3413},[162],{"categories":3415},[262],{"categories":3417},[162],{"categories":3419},[],{"categories":3421},[162],{"categories":3423},[162],{"categories":3425},[162],{"categories":3427},[162],{"categories":3429},[291],{"categories":3431},[210],{"categories":3433},[162],{"categories":3435},[162],{"categories":3437},[1847],{"categories":3439},[165],{"categories":3441},[162],{"categories":3443},[162],{"categories":3445},[213],{"categories":3447},[162],{"categories":3449},[162],{"categories":3451},[210],{"categories":3453},[121],{"categories":3455},[],{"categories":3457},[162],{"categories":3459},[162],{"categories":3461},[262],{"categories":3463},[162],{"categories":3465},[291],{"categories":3467},[121],{"categories":3469},[162],{"categories":3471},[121],{"categories":3473},[],{"categories":3475},[],{"categories":3477},[],{"categories":3479},[165],{"categories":3481},[210],{"categories":3483},[121],{"categories":3485},[162],{"categories":3487},[162],{"categories":3489},[162],{"categories":3491},[162],{"categories":3493},[449],{"categories":3495},[262],{"categories":3497},[121],{"categories":3499},[162],{"categories":3501},[],{"categories":3503},[121],{"categories":3505},[121],{"categories":3507},[],{"categories":3509},[162],{"categories":3511},[121],{"categories":3513},[162],{"categories":3515},[],{"categories":3517},[162],{"categories":3519},[162],{"categories":3521},[162],{"categories":3523},[210],{"categories":3525},[262],{"categories":3527},[121],{"categories":3529},[262],{"categories":3531},[121],{"categories":3533},[162],{"categories":3535},[170],{"categories":3537},[],{"categories":3539},[],{"categories":3541},[162],{"categories":3543},[162],{"categories":3545},[162],{"categories":3547},[165],{"categories":3549},[121],{"categories":3551},[210],{"categories":3553},[],{"categories":3555},[262],{"categories":3557},[],{"categories":3559},[188],{"categories":3561},[162],{"categories":3563},[188],{"categories":3565},[262],{"categories":3567},[188],{"categories":3569},[162],{"categories":3571},[],{"categories":3573},[162],{"categories":3575},[162],{"categories":3577},[],{"categories":3579},[162],{"categories":3581},[162],{"categories":3583},[291],{"categories":3585},[162],{"categories":3587},[162],{"categories":3589},[332],{"categories":3591},[188],{"categories":3593},[162],{"categories":3595},[],{"categories":3597},[121],{"categories":3599},[162],{"categories":3601},[165],{"categories":3603},[564],{"categories":3605},[162],{"categories":3607},[162],{"categories":3609},[121],{"categories":3611},[162],{"categories":3613},[121],{"categories":3615},[162],{"categories":3617},[162],{"categories":3619},[162],{"categories":3621},[162],{"categories":3623},[],{"categories":3625},[162],{"categories":3627},[165],{"categories":3629},[162],{"categories":3631},[170],{"categories":3633},[188],{"categories":3635},[262],{"categories":3637},[],{"categories":3639},[162],{"categories":3641},[],{"categories":3643},[121],{"categories":3645},[162],{"categories":3647},[],{"categories":3649},[121],{"categories":3651},[162],{"categories":3653},[188],{"categories":3655},[262],{"categories":3657},[210],{"categories":3659},[162],{"categories":3661},[210],{"categories":3663},[121],{"categories":3665},[262],{"categories":3667},[162],{"categories":3669},[],{"categories":3671},[162],{"categories":3673},[199],{"categories":3675},[121],{"categories":3677},[162],{"categories":3679},[262],{"categories":3681},[210],{"categories":3683},[170],{"categories":3685},[188],{"categories":3687},[162],{"categories":3689},[162],{"categories":3691},[162],{"categories":3693},[162],{"categories":3695},[210],{"categories":3697},[291],{"categories":3699},[],{"categories":3701},[],{"categories":3703},[213],{"categories":3705},[505],{"categories":3707},[162],{"categories":3709},[121],{"categories":3711},[162,188],{"categories":3713},[210],{"categories":3715},[162],{"categories":3717},[162],{"categories":3719},[162],{"categories":3721},[162],{"categories":3723},[162],{"categories":3725},[162],{"categories":3727},[162],{"categories":3729},[121],{"categories":3731},[162],{"categories":3733},[121],{"categories":3735},[162],{"categories":3737},[162],{"categories":3739},[162],{"categories":3741},[],{"categories":3743},[162],{"categories":3745},[1285],{"categories":3747},[188],{"categories":3749},[262],{"categories":3751},[162],{"categories":3753},[162],{"categories":3755},[162],{"categories":3757},[213],{"categories":3759},[121],{"categories":3761},[291],{"categories":3763},[332],{"categories":3765},[],{"categories":3767},[188],{"categories":3769},[162],{"categories":3771},[170],{"categories":3773},[121],{"categories":3775},[165],{"categories":3777},[121],{"categories":3779},[162],{"categories":3781},[121],{"categories":3783},[121],{"categories":3785},[177],{"categories":3787},[188],{"categories":3789},[162],{"categories":3791},[162],{"categories":3793},[],{"categories":3795},[],{"categories":3797},[],{"categories":3799},[332],{"categories":3801},[162],{"categories":3803},[210],{"categories":3805},[162],{"categories":3807},[162],{"categories":3809},[162],{"categories":3811},[162],{"categories":3813},[],{"categories":3815},[162],{"categories":3817},[213],{"categories":3819},[170],{"categories":3821},[121],{"categories":3823},[162],{"categories":3825},[],{"categories":3827},[162],{"categories":3829},[121],{"categories":3831},[162],{"categories":3833},[332],{"categories":3835},[],{"categories":3837},[262],{"categories":3839},[262],{"categories":3841},[162],{"categories":3843},[121],{"categories":3845},[],{"categories":3847},[188],{"categories":3849},[162],{"categories":3851},[262],{"categories":3853},[162],{"categories":3855},[170],{"categories":3857},[121],{"categories":3859},[162],{"categories":3861},[],{"categories":3863},[210],{"categories":3865},[162],{"categories":3867},[162],{"categories":3869},[162],{"categories":3871},[262],{"categories":3873},[121],{"categories":3875},[210],{"categories":3877},[],{"categories":3879},[121],{"categories":3881},[170],{"categories":3883},[121],{"categories":3885},[262],{"categories":3887},[162],{"categories":3889},[162],{"categories":3891},[162],{"categories":3893},[505],{"categories":3895},[162],{"categories":3897},[121],{"categories":3899},[],{"categories":3901},[162],{"categories":3903},[162],{"categories":3905},[332],{"categories":3907},[210],{"categories":3909},[213],{"categories":3911},[610],{"categories":3913},[213],{"categories":3915},[213],{"categories":3917},[162],{"categories":3919},[],{"categories":3921},[],{"categories":3923},[],{"categories":3925},[121],{"categories":3927},[162],{"categories":3929},[121],{"categories":3931},[121],{"categories":3933},[188],{"categories":3935},[162],{"categories":3937},[482],{"categories":3939},[188],{"categories":3941},[121],{"categories":3943},[162],{"categories":3945},[162],{"categories":3947},[162],{"categories":3949},[162],{"categories":3951},[162],{"categories":3953},[121],{"categories":3955},[162],{"categories":3957},[],{"categories":3959},[],{"categories":3961},[162],{"categories":3963},[],{"categories":3965},[162],{"categories":3967},[121],{"categories":3969},[262],{"categories":3971},[162],{"categories":3973},[162],{"categories":3975},[],{"categories":3977},[121],{"categories":3979},[162],{"categories":3981},[162],{"categories":3983},[177],{"categories":3985},[162],{"categories":3987},[262],{"categories":3989},[162],{"categories":3991},[121],{"categories":3993},[170],{"categories":3995},[162],{"categories":3997},[162],{"categories":3999},[291],{"categories":4001},[121],{"categories":4003},[162],{"categories":4005},[162],{"categories":4007},[922],{"categories":4009},[162],{"categories":4011},[121],{"categories":4013},[162],{"categories":4015},[188],{"categories":4017},[162],{"categories":4019},[564],{"categories":4021},[262],{"categories":4023},[],{"categories":4025},[162],{"categories":4027},[162],{"categories":4029},[210],{"categories":4031},[505],{"categories":4033},[121],{"categories":4035},[162],{"categories":4037},[],{"categories":4039},[210],{"categories":4041},[426],{"categories":4043},[121],{"categories":4045},[121],{"categories":4047},[121],{"categories":4049},[162],{"categories":4051},[162],{"categories":4053},[121],{"categories":4055},[],{"categories":4057},[170],{"categories":4059},[162],{"categories":4061},[170],{"categories":4063},[121],{"categories":4065},[],{"categories":4067},[188],{"categories":4069},[162],{"categories":4071},[162],{"categories":4073},[165],{"categories":4075},[162],{"categories":4077},[210],{"categories":4079},[332],{"categories":4081},[199],{"categories":4083},[121],{"categories":4085},[121],{"categories":4087},[162],{"categories":4089},[162],{"categories":4091},[121],{"categories":4093},[162],{"categories":4095},[165],{"categories":4097},[],{"categories":4099},[121],{"categories":4101},[162],{"categories":4103},[162],{"categories":4105},[162],{"categories":4107},[121],{"categories":4109},[162],{"categories":4111},[],{"categories":4113},[162],{"categories":4115},[],{"categories":4117},[262],{"categories":4119},[121],{"categories":4121},[162,170],{"categories":4123},[121],{"categories":4125},[162],{"categories":4127},[],{"categories":4129},[165],{"categories":4131},[213],{"categories":4133},[170],{"categories":4135},[162],{"categories":4137},[188],{"categories":4139},[162],{"categories":4141},[162],{"categories":4143},[121],{"categories":4145},[162],{"categories":4147},[162],{"categories":4149},[162],{"categories":4151},[210],{"categories":4153},[1285],{"categories":4155},[121],{"categories":4157},[162],{"categories":4159},[],{"categories":4161},[],{"categories":4163},[162],{"categories":4165},[121],{"categories":4167},[162],{"categories":4169},[162],{"categories":4171},[332],{"categories":4173},[],{"categories":4175},[162],{"categories":4177},[121],{"categories":4179},[199],{"categories":4181},[121],{"categories":4183},[505],{"categories":4185},[],{"categories":4187},[449],{"categories":4189},[121],{"categories":4191},[162],{"categories":4193},[162],{"categories":4195},[291],{"categories":4197},[121],{"categories":4199},[162],{"categories":4201},[213],{"categories":4203},[177],{"categories":4205},[121],{"categories":4207},[162],{"categories":4209},[505],{"categories":4211},[162],{"categories":4213},[332],{"categories":4215},[170],{"categories":4217},[],{"categories":4219},[162],{"categories":4221},[162],{"categories":4223},[291],{"categories":4225},[262],{"categories":4227},[162],{"categories":4229},[162],{"categories":4231},[162],{"categories":4233},[],{"categories":4235},[291],{"categories":4237},[210],{"categories":4239},[162],{"categories":4241},[162],{"categories":4243},[162],{"categories":4245},[610],{"categories":4247},[165],{"categories":4249},[162],{"categories":4251},[177],{"categories":4253},[162],{"categories":4255},[],{"categories":4257},[],{"categories":4259},[262],{"categories":4261},[162],{"categories":4263},[213],{"categories":4265},[291],{"categories":4267},[121],{"categories":4269},[162],{"categories":4271},[162],{"categories":4273},[291],{"categories":4275},[210],{"categories":4277},[162],{"categories":4279},[],{"categories":4281},[162],{"categories":4283},[162],{"categories":4285},[],{"categories":4287},[162],{"categories":4289},[162],{"categories":4291},[635],{"categories":4293},[162],{"categories":4295},[162],{"categories":4297},[121],{"categories":4299},[188],{"categories":4301},[505],{"categories":4303},[162],{"categories":4305},[162],{"categories":4307},[162],{"categories":4309},[],{"categories":4311},[162,188],{"categories":4313},[210],{"categories":4315},[121],{"categories":4317},[188],{"categories":4319},[121],{"categories":4321},[960],{"categories":4323},[188],{"categories":4325},[188],{"categories":4327},[121],{"categories":4329},[162],{"categories":4331},[165],{"categories":4333},[],{"categories":4335},[],{"categories":4337},[121],{"categories":4339},[162],{"categories":4341},[188],{"categories":4343},[162],{"categories":4345},[165],{"categories":4347},[188],{"categories":4349},[188],{"categories":4351},[162],{"categories":4353},[291],{"categories":4355},[162],{"categories":4357},[188],{"categories":4359},[162],{"categories":4361},[],{"categories":4363},[162],{"categories":4365},[162],{"categories":4367},[262,162],{"categories":4369},[332],{"categories":4371},[165],{"categories":4373},[162],{"categories":4375},[],{"categories":4377},[162],{"categories":4379},[162],{"categories":4381},[170],{"categories":4383},[162],{"categories":4385},[170],{"categories":4387},[162],{"categories":4389},[162],{"categories":4391},[426],{"categories":4393},[162],{"categories":4395},[170],{"categories":4397},[188],{"categories":4399},[213],{"categories":4401},[121],{"categories":4403},[162],{"categories":4405},[188],{"categories":4407},[162],{"categories":4409},[162],{"categories":4411},[210],{"categories":4413},[291],{"categories":4415},[262],{"categories":4417},[162],{"categories":4419},[162],{"categories":4421},[162],{"categories":4423},[162],{"categories":4425},[165],{"categories":4427},[162],{"categories":4429},[121],{"categories":4431},[121],{"categories":4433},[188],{"categories":4435},[210],{"categories":4437},[188],{"categories":4439},[188],{"categories":4441},[162],{"categories":4443},[162],{"categories":4445},[],{"categories":4447},[],{"categories":4449},[213],{"categories":4451},[162],{"categories":4453},[188],{"categories":4455},[162],{"categories":4457},[262],{"categories":4459},[505],{"categories":4461},[449],{"categories":4463},[426],{"categories":4465},[162],{"categories":4467},[162],{"categories":4469},[162],{"categories":4471},[213],{"categories":4473},[162],{"categories":4475},[162],{"categories":4477},[162],{"categories":4479},[162],{"categories":4481},[162],{"categories":4483},[162],{"categories":4485},[162],{"categories":4487},[121],{"categories":4489},[165],{"categories":4491},[121],{"categories":4493},[162,170],{"categories":4495},[],{"categories":4497},[262],{"categories":4499},[],{"categories":4501},[177],{"categories":4503},[162],{"categories":4505},[210],{"categories":4507},[165],{"categories":4509},[162],{"categories":4511},[165],{"categories":4513},[121],{"categories":4515},[213],{"categories":4517},[121],{"categories":4519},[177],{"categories":4521},[121],{"categories":4523},[162],{"categories":4525},[162],{"categories":4527},[170],{"categories":4529},[121],{"categories":4531},[188],{"categories":4533},[291],{"categories":4535},[162],{"categories":4537},[162],{"categories":4539},[],{"categories":4541},[210],{"categories":4543},[162],{"categories":4545},[162],{"categories":4547},[162],{"categories":4549},[162],{"categories":4551},[162],{"categories":4553},[162],{"categories":4555},[188],{"categories":4557},[210],{"categories":4559},[188],{"categories":4561},[188],{"categories":4563},[162],{"categories":4565},[162],{"categories":4567},[162],{"categories":4569},[162],{"categories":4571},[449],{"categories":4573},[162],{"categories":4575},[121],{"categories":4577},[210],{"categories":4579},[162],{"categories":4581},[162],{"categories":4583},[162],{"categories":4585},[121],{"categories":4587},[162],{"categories":4589},[162],{"categories":4591},[162],{"categories":4593},[3184],{"categories":4595},[4596],"Clinical AI",{"categories":4598},[262],{"categories":4600},[162],{"categories":4602},[162],{"categories":4604},[162],{"categories":4606},[162],{"categories":4608},[332],{"categories":4610},[2543],{"categories":4612},[162],{"categories":4614},[177],{"categories":4616},[262],{"categories":4618},[162],{"categories":4620},[121],{"categories":4622},[162],{"categories":4624},[162],{"categories":4626},[210],{"categories":4628},[162],{"categories":4630},[121],{"categories":4632},[188],{"categories":4634},[291],{"categories":4636},[162],{"categories":4638},[162],{"categories":4640},[170],{"categories":4642},[162],{"categories":4644},[162],{"categories":4646},[564],{"categories":4648},[162],{"categories":4650},[],{"categories":4652},[121],{"categories":4654},[162],{"categories":4656},[188],{"categories":4658},[165],{"categories":4660},[162],{"categories":4662},[],{"categories":4664},[],{"categories":4666},[162],{"categories":4668},[],{"categories":4670},[170],{"categories":4672},[162],{"categories":4674},[162],{"categories":4676},[121],{"categories":4678},[162],{"categories":4680},[210],{"categories":4682},[210],{"categories":4684},[210],{"categories":4686},[210],{"categories":4688},[],{"categories":4690},[165],{"categories":4692},[121],{"categories":4694},[210],{"categories":4696},[162],{"categories":4698},[635],{"categories":4700},[177],{"categories":4702},[121],{"categories":4704},[162],{"categories":4706},[165],{"categories":4708},[162],{"categories":4710},[121],{"categories":4712},[162],{"categories":4714},[162],{"categories":4716},[162],{"categories":4718},[162,121],{"categories":4720},[121],{"categories":4722},[332],{"categories":4724},[210],{"categories":4726},[121],{"categories":4728},[210],{"categories":4730},[121],{"categories":4732},[162],{"categories":4734},[],{"categories":4736},[210],{"categories":4738},[291],{"categories":4740},[165],{"categories":4742},[162],{"categories":4744},[162],{"categories":4746},[],{"categories":4748},[188],{"categories":4750},[],{"categories":4752},[165],{"categories":4754},[121],{"categories":4756},[210],{"categories":4758},[162],{"categories":4760},[210],{"categories":4762},[165],{"categories":4764},[210],{"categories":4766},[210],{"categories":4768},[],{"categories":4770},[170],{"categories":4772},[121],{"categories":4774},[210],{"categories":4776},[210],{"categories":4778},[210],{"categories":4780},[210],{"categories":4782},[210],{"categories":4784},[210],{"categories":4786},[210],{"categories":4788},[210],{"categories":4790},[210],{"categories":4792},[210],{"categories":4794},[213],{"categories":4796},[165],{"categories":4798},[162],{"categories":4800},[162],{"categories":4802},[121],{"categories":4804},[121],{"categories":4806},[],{"categories":4808},[162],{"categories":4810},[162,165],{"categories":4812},[],{"categories":4814},[121],{"categories":4816},[162],{"categories":4818},[210],{"categories":4820},[121],{"categories":4822},[960],{"categories":4824},[162],{"categories":4826},[162],{"categories":4828},[162],{"categories":4830},[162],{"categories":4832},[162],{"categories":4834},[426],{"categories":4836},[162],{"categories":4838},[162],{"categories":4840},[121],{"categories":4842},[162],{"categories":4844},[162],{"categories":4846},[170],{"categories":4848},[177],{"categories":4850},[121],{"categories":4852},[121],{"categories":4854},[],{"categories":4856},[121],{"categories":4858},[262],{"categories":4860},[210],{"categories":4862},[162],{"categories":4864},[],{"categories":4866},[177],{"categories":4868},[],{"categories":4870},[188],{"categories":4872},[162],{"categories":4874},[121],{"categories":4876},[262],{"categories":4878},[162],{"categories":4880},[],{"categories":4882},[162],{"categories":4884},[162],{"categories":4886},[],{"categories":4888},[291],{"categories":4890},[162],{"categories":4892},[121],{"categories":4894},[],{"categories":4896},[],{"categories":4898},[210],{"categories":4900},[165],{"categories":4902},[162],{"categories":4904},[162],{"categories":4906},[170],{"categories":4908},[162],{"categories":4910},[162],{"categories":4912},[121],{"categories":4914},[162],{"categories":4916},[170],{"categories":4918},[170],{"categories":4920},[262],{"categories":4922},[],{"categories":4924},[162],{"categories":4926},[210],{"categories":4928},[],{"categories":4930},[162],{"categories":4932},[162],{"categories":4934},[262],{"categories":4936},[162],{"categories":4938},[162],{"categories":4940},[291],{"categories":4942},[162],{"categories":4944},[332],{"categories":4946},[],{"categories":4948},[121],{"categories":4950},[162],{"categories":4952},[291],{"categories":4954},[188],{"categories":4956},[],{"categories":4958},[162],{"categories":4960},[],{"categories":4962},[121],{"categories":4964},[262],{"categories":4966},[188],{"categories":4968},[],{"categories":4970},[3184],{"categories":4972},[170],{"categories":4974},[165],{"categories":4976},[162],{"categories":4978},[213],{"categories":4980},[121],{"categories":4982},[262],{"categories":4984},[162],{"categories":4986},[188],{"categories":4988},[],{"categories":4990},[],{"categories":4992},[162],{"categories":4994},[165],{"categories":4996},[162],{"categories":4998},[291],{"categories":5000},[],{"categories":5002},[121],{"categories":5004},[121],{"categories":5006},[162],{"categories":5008},[121],{"categories":5010},[162],{"categories":5012},[210],{"categories":5014},[188],{"categories":5016},[162],{"categories":5018},[121],{"categories":5020},[177],{"categories":5022},[162],{"categories":5024},[162],{"categories":5026},[162],{"categories":5028},[121],{"categories":5030},[162],{"categories":5032},[177],{"categories":5034},[291],{"categories":5036},[210],{"categories":5038},[],{"categories":5040},[291],{"categories":5042},[162],{"categories":5044},[],{"categories":5046},[188],{"categories":5048},[121],{"categories":5050},[],{"categories":5052},[162],{"categories":5054},[162],{"categories":5056},[162],{"categories":5058},[162],{"categories":5060},[162],{"categories":5062},[121],{"categories":5064},[170],{"categories":5066},[165],{"categories":5068},[121],{"categories":5070},[162],{"categories":5072},[262],{"categories":5074},[188],{"categories":5076},[188],{"categories":5078},[162],{"categories":5080},[213],{"categories":5082},[121],{"categories":5084},[162],{"categories":5086},[162],{"categories":5088},[121],{"categories":5090},[162],{"categories":5092},[162],{"categories":5094},[121],{"categories":5096},[170],{"categories":5098},[162],{"categories":5100},[262],{"categories":5102},[188],{"categories":5104},[121],{"categories":5106},[162],{"categories":5108},[177],{"categories":5110},[162],{"categories":5112},[121],{"categories":5114},[162],{"categories":5116},[162],{"categories":5118},[210],{"categories":5120},[162],{"categories":5122},[],{"categories":5124},[165],{"categories":5126},[162],{"categories":5128},[162],{"categories":5130},[162],{"categories":5132},[188],{"categories":5134},[188],{"categories":5136},[162],{"categories":5138},[188],{"categories":5140},[162],{"categories":5142},[121],{"categories":5144},[162],{"categories":5146},[162],{"categories":5148},[162],{"categories":5150},[162],{"categories":5152},[162],{"categories":5154},[],{"categories":5156},[162],{"categories":5158},[262],{"categories":5160},[121],{"categories":5162},[170],{"categories":5164},[210],{"categories":5166},[162],{"categories":5168},[121],{"categories":5170},[162],{"categories":5172},[121],{"categories":5174},[162],{"categories":5176},[162],{"categories":5178},[262],{"categories":5180},[121],{"categories":5182},[162],{"categories":5184},[291],{"categories":5186},[162],{"categories":5188},[213],{"categories":5190},[162],{"categories":5192},[162],{"categories":5194},[210],{"categories":5196},[162],{"categories":5198},[162],{"categories":5200},[162],{"categories":5202},[162],{"categories":5204},[121],{"categories":5206},[332],{"categories":5208},[162],{"categories":5210},[188],{"categories":5212},[121],{"categories":5214},[213],{"categories":5216},[],{"categories":5218},[121],{"categories":5220},[188],{"categories":5222},[162],{"categories":5224},[162],{"categories":5226},[2381],{"categories":5228},[262],{"categories":5230},[361],{"categories":5232},[162],{"categories":5234},[162],{"categories":5236},[162],{"categories":5238},[162],{"categories":5240},[165],{"categories":5242},[162],{"categories":5244},[162],{"categories":5246},[188],{"categories":5248},[170],{"categories":5250},[162],{"categories":5252},[188],{"categories":5254},[162],{"categories":5256},[],{"categories":5258},[121],{"categories":5260},[121],{"categories":5262},[162],{"categories":5264},[162],{"categories":5266},[162],{"categories":5268},[213],{"categories":5270},[],{"categories":5272},[210],{"categories":5274},[],{"categories":5276},[210],{"categories":5278},[162],{"categories":5280},[162],{"categories":5282},[121],{"categories":5284},[162],{"categories":5286},[121],{"categories":5288},[121],{"categories":5290},[],{"categories":5292},[162],{"categories":5294},[210],{"categories":5296},[162],{"categories":5298},[],{"categories":5300},[162],{"categories":5302},[162],{"categories":5304},[],{"categories":5306},[162],{"categories":5308},[162],{"categories":5310},[262],{"categories":5312},[188],{"categories":5314},[121],{"categories":5316},[162],{"categories":5318},[162],{"categories":5320},[162],{"categories":5322},[162],{"categories":5324},[291],{"categories":5326},[162],{"categories":5328},[162],{"categories":5330},[162],{"categories":5332},[165],{"categories":5334},[162],{"categories":5336},[162],{"categories":5338},[],{"categories":5340},[162],{"categories":5342},[162],{"categories":5344},[162],{"categories":5346},[],{"categories":5348},[165],{"categories":5350},[162],{"categories":5352},[162],{"categories":5354},[210],{"categories":5356},[188],{"categories":5358},[177],{"categories":5360},[121],{"categories":5362},[505],{"categories":5364},[162],{"categories":5366},[162],{"categories":5368},[162],{"categories":5370},[188],{"categories":5372},[210],{"categories":5374},[262],{"categories":5376},[162],{"categories":5378},[162],{"categories":5380},[162],{"categories":5382},[162],{"categories":5384},[210],{"categories":5386},[162],{"categories":5388},[262],{"categories":5390},[162],{"categories":5392},[162],{"categories":5394},[210],{"categories":5396},[262],{"categories":5398},[162],{"categories":5400},[210],{"categories":5402},[162],{"categories":5404},[121],{"categories":5406},[121],{"categories":5408},[121],{"categories":5410},[188],{"categories":5412},[210],{"categories":5414},[121],{"categories":5416},[121],{"categories":5418},[162],{"categories":5420},[188],{"categories":5422},[262],{"categories":5424},[162],{"categories":5426},[162],{"categories":5428},[121],{"categories":5430},[162],{"categories":5432},[],{"categories":5434},[121],{"categories":5436},[],{"categories":5438},[162],{"categories":5440},[162],{"categories":5442},[],{"categories":5444},[],{"categories":5446},[121],{"categories":5448},[170],{"categories":5450},[121],{"categories":5452},[5453],"Liability & Ethics",{"categories":5455},[162],{"categories":5457},[162],{"categories":5459},[162],{"categories":5461},[121],{"categories":5463},[165],{"categories":5465},[121],{"categories":5467},[170],{"categories":5469},[291],{"categories":5471},[121],{"categories":5473},[162],{"categories":5475},[162],{"categories":5477},[],{"categories":5479},[610],{"categories":5481},[121],{"categories":5483},[],{"categories":5485},[162],{"categories":5487},[165],{"categories":5489},[121],{"categories":5491},[],{"categories":5493},[121],{"categories":5495},[162],{"categories":5497},[162],{"categories":5499},[188],{"categories":5501},[162],{"categories":5503},[210],{"categories":5505},[162],{"categories":5507},[162],{"categories":5509},[177],{"categories":5511},[121],{"categories":5513},[162],{"categories":5515},[162],{"categories":5517},[162],{"categories":5519},[210],{"categories":5521},[121],{"categories":5523},[188],{"categories":5525},[262],{"categories":5527},[165],{"categories":5529},[162],{"categories":5531},[162],{"categories":5533},[162],{"categories":5535},[],{"categories":5537},[121],{"categories":5539},[121],{"categories":5541},[121],{"categories":5543},[505],{"categories":5545},[262],{"categories":5547},[121],{"categories":5549},[332],{"categories":5551},[188],{"categories":5553},[210],{"categories":5555},[162],{"categories":5557},[262],{"categories":5559},[162],{"categories":5561},[165],{"categories":5563},[],{"categories":5565},[121],{"categories":5567},[162],{"categories":5569},[162],{"categories":5571},[162],{"categories":5573},[162],{"categories":5575},[121],{"categories":5577},[162],{"categories":5579},[162],{"categories":5581},[262],{"categories":5583},[],{"categories":5585},[121],{"categories":5587},[177],{"categories":5589},[210],{"categories":5591},[121],{"categories":5593},[170],{"categories":5595},[],{"categories":5597},[162],{"categories":5599},[162],{"categories":5601},[177],{"categories":5603},[162],{"categories":5605},[121],{"categories":5607},[210],{"categories":5609},[165],{"categories":5611},[332],{"categories":5613},[162],{"categories":5615},[162],{"categories":5617},[162],{"categories":5619},[210],{"categories":5621},[170],{"categories":5623},[162],{"categories":5625},[262],{"categories":5627},[210],{"categories":5629},[332],{"categories":5631},[162],{"categories":5633},[121],{"categories":5635},[],{"categories":5637},[564],{"categories":5639},[],{"categories":5641},[162],{"categories":5643},[332],{"categories":5645},[162],{"categories":5647},[213],{"categories":5649},[162],{"categories":5651},[121],{"categories":5653},[121],{"categories":5655},[5656],"Design News & Tools",{"categories":5658},[162],{"categories":5660},[162],{"categories":5662},[210],{"categories":5664},[162],{"categories":5666},[162],{"categories":5668},[165],{"categories":5670},[121],{"categories":5672},[162],{"categories":5674},[262],{"categories":5676},[121],{"categories":5678},[121],{"categories":5680},[262],{"categories":5682},[162],{"categories":5684},[162],{"categories":5686},[505],{"categories":5688},[121],{"categories":5690},[162],{"categories":5692},[162],{"categories":5694},[505],{"categories":5696},[162],{"categories":5698},[291],{"categories":5700},[162],{"categories":5702},[121],{"categories":5704},[],{"categories":5706},[162],{"categories":5708},[162],{"categories":5710},[162],{"categories":5712},[210],{"categories":5714},[162],{"categories":5716},[165],{"categories":5718},[],{"categories":5720},[162],{"categories":5722},[162],{"categories":5724},[162],{"categories":5726},[188],{"categories":5728},[635],{"categories":5730},[188],{"categories":5732},[262],{"categories":5734},[162],{"categories":5736},[162,121],{"categories":5738},[291,170],{"categories":5740},[188],{"categories":5742},[162],{"categories":5744},[162],{"categories":5746},[162],{"categories":5748},[162],{"categories":5750},[],{"categories":5752},[121],{"categories":5754},[162],{"categories":5756},[],{"categories":5758},[162],{"categories":5760},[188],{"categories":5762},[162],{"categories":5764},[188],{"categories":5766},[],{"categories":5768},[121],{"categories":5770},[162],{"categories":5772},[170],{"categories":5774},[162],{"categories":5776},[210],{"categories":5778},[162],{"categories":5780},[],{"categories":5782},[121],{"categories":5784},[162],{"categories":5786},[],{"categories":5788},[262],{"categories":5790},[162],{"categories":5792},[162],{"categories":5794},[121],{"categories":5796},[162],{"categories":5798},[162],{"categories":5800},[165],{"categories":5802},[121],{"categories":5804},[162],{"categories":5806},[],{"categories":5808},[162],{"categories":5810},[332],{"categories":5812},[291],{"categories":5814},[170],{"categories":5816},[170],{"categories":5818},[162],{"categories":5820},[165],{"categories":5822},[165],{"categories":5824},[162],{"categories":5826},[121],{"categories":5828},[162],{"categories":5830},[162],{"categories":5832},[162],{"categories":5834},[162],{"categories":5836},[188],{"categories":5838},[162],{"categories":5840},[165],{"categories":5842},[162],{"categories":5844},[162],{"categories":5846},[121],{"categories":5848},[162],{"categories":5850},[291],{"categories":5852},[162],{"categories":5854},[210],{"categories":5856},[162],{"categories":5858},[162],{"categories":5860},[121],{"categories":5862},[177],{"categories":5864},[162],{"categories":5866},[162],{"categories":5868},[121],{"categories":5870},[],{"categories":5872},[188],{"categories":5874},[],{"categories":5876},[188],{"categories":5878},[121],{"categories":5880},[165],{"categories":5882},[162],{"categories":5884},[],{"categories":5886},[213],{"categories":5888},[332],{"categories":5890},[162],{"categories":5892},[188],{"categories":5894},[162],{"categories":5896},[],{"categories":5898},[210],{"categories":5900},[121],{"categories":5902},[188],{"categories":5904},[262],{"categories":5906},[170],{"categories":5908},[162],{"categories":5910},[162],{"categories":5912},[121],{"categories":5914},[188],{"categories":5916},[121],{"categories":5918},[210],{"categories":5920},[162],{"categories":5922},[177],{"categories":5924},[165],{"categories":5926},[177],{"categories":5928},[210],{"categories":5930},[162],{"categories":5932},[188],{"categories":5934},[162],{"categories":5936},[262],{"categories":5938},[170],{"categories":5940},[162],{"categories":5942},[162],{"categories":5944},[162],{"categories":5946},[162],{"categories":5948},[162],{"categories":5950},[162],{"categories":5952},[121],{"categories":5954},[162],{"categories":5956},[121],{"categories":5958},[162],{"categories":5960},[162],{"categories":5962},[165],{"categories":5964},[162],{"categories":5966},[121],{"categories":5968},[121],{"categories":5970},[262],{"categories":5972},[121],{"categories":5974},[121],{"categories":5976},[162],{"categories":5978},[165],{"categories":5980},[121],{"categories":5982},[262],{"categories":5984},[],{"categories":5986},[162],{"categories":5988},[213],{"categories":5990},[505],{"categories":5992},[162],{"categories":5994},[121],{"categories":5996},[162],{"categories":5998},[162],{"categories":6000},[188],{"categories":6002},[162],{"categories":6004},[],{"categories":6006},[162],{"categories":6008},[121],{"categories":6010},[162],{"categories":6012},[291],{"categories":6014},[162],{"categories":6016},[188],{"categories":6018},[162],{"categories":6020},[210],{"categories":6022},[121],{"categories":6024},[162],{"categories":6026},[291],{"categories":6028},[121],{"categories":6030},[170],{"categories":6032},[170],{"categories":6034},[162],{"categories":6036},[162],{"categories":6038},[162],{"categories":6040},[162],{"categories":6042},[162],{"categories":6044},[162],{"categories":6046},[165],{"categories":6048},[],{"categories":6050},[162],{"categories":6052},[162],{"categories":6054},[121],{"categories":6056},[121],{"categories":6058},[162],{"categories":6060},[162],{"categories":6062},[162],{"categories":6064},[162],{"categories":6066},[162],{"categories":6068},[188],{"categories":6070},[],{"categories":6072},[165],{"categories":6074},[162],{"categories":6076},[162],{"categories":6078},[121],{"categories":6080},[121],{"categories":6082},[],{"categories":6084},[188],{"categories":6086},[188],{"categories":6088},[162],{"categories":6090},[291],{"categories":6092},[170],{"categories":6094},[262],{"categories":6096},[],{"categories":6098},[162],{"categories":6100},[121],{"categories":6102},[165],{"categories":6104},[162],{"categories":6106},[162],{"categories":6108},[188],{"categories":6110},[165],{"categories":6112},[162],{"categories":6114},[162],{"categories":6116},[210],{"categories":6118},[213],{"categories":6120},[162],{"categories":6122},[210],{"categories":6124},[121],{"categories":6126},[162],{"categories":6128},[],{"categories":6130},[210],{"categories":6132},[121],{"categories":6134},[262],{"categories":6136},[213],{"categories":6138},[162],{"categories":6140},[162],{"categories":6142},[],{"categories":6144},[121],{"categories":6146},[121],{"categories":6148},[121],{"categories":6150},[3184],{"categories":6152},[210],{"categories":6154},[162],{"categories":6156},[188],{"categories":6158},[162],{"categories":6160},[162],{"categories":6162},[162],{"categories":6164},[162],{"categories":6166},[162],{"categories":6168},[170],{"categories":6170},[162],{"categories":6172},[165],{"categories":6174},[1847],{"categories":6176},[332],{"categories":6178},[165],{"categories":6180},[],{"categories":6182},[162],{"categories":6184},[],{"categories":6186},[210],{"categories":6188},[121],{"categories":6190},[262],{"categories":6192},[162],{"categories":6194},[162],{"categories":6196},[162],{"categories":6198},[210],{"categories":6200},[],{"categories":6202},[121],{"categories":6204},[162],{"categories":6206},[121],{"categories":6208},[121],{"categories":6210},[],{"categories":6212},[162],{"categories":6214},[],{"categories":6216},[210],{"categories":6218},[165],{"categories":6220},[262],{"categories":6222},[162],{"categories":6224},[121],{"categories":6226},[210],{"categories":6228},[162],{"categories":6230},[210],{"categories":6232},[],{"categories":6234},[210],{"categories":6236},[162],{"categories":6238},[165],{"categories":6240},[505],{"categories":6242},[121],{"categories":6244},[162],{"categories":6246},[],{"categories":6248},[188],{"categories":6250},[121],{"categories":6252},[177],{"categories":6254},[121],{"categories":6256},[165],{"categories":6258},[162],{"categories":6260},[162],{"categories":6262},[],{"categories":6264},[],{"categories":6266},[],{"categories":6268},[262],{"categories":6270},[162],{"categories":6272},[121],{"categories":6274},[162],{"categories":6276},[162],{"categories":6278},[],{"categories":6280},[],{"categories":6282},[],{"categories":6284},[162],{"categories":6286},[121],{"categories":6288},[262],{"categories":6290},[162],{"categories":6292},[],{"categories":6294},[121],{"categories":6296},[162],{"categories":6298},[162],{"categories":6300},[165],{"categories":6302},[],{"categories":6304},[],{"categories":6306},[162],{"categories":6308},[162],{"categories":6310},[121],{"categories":6312},[262],{"categories":6314},[162],{"categories":6316},[210],{"categories":6318},[],{"categories":6320},[162],{"categories":6322},[162],{"categories":6324},[291],{"categories":6326},[210],{"categories":6328},[291],{"categories":6330},[213],{"categories":6332},[162],{"categories":6334},[162],{"categories":6336},[],{"categories":6338},[],{"categories":6340},[121],{"categories":6342},[],{"categories":6344},[162],{"categories":6346},[505],{"categories":6348},[162],{"categories":6350},[162],{"categories":6352},[162],{"categories":6354},[162],{"categories":6356},[],{"categories":6358},[121],{"categories":6360},[162],{"categories":6362},[162],{"categories":6364},[],{"categories":6366},[121],{"categories":6368},[162],{"categories":6370},[210],{"categories":6372},[162],{"categories":6374},[291],{"categories":6376},[170],{"categories":6378},[177],{"categories":6380},[162],{"categories":6382},[162],{"categories":6384},[121],{"categories":6386},[213],{"categories":6388},[121],{"categories":6390},[121],{"categories":6392},[],{"categories":6394},[162],{"categories":6396},[121],{"categories":6398},[],{"categories":6400},[162],{"categories":6402},[],{"categories":6404},[210],{"categories":6406},[170],{"categories":6408},[],{"categories":6410},[162],{"categories":6412},[162],{"categories":6414},[162],{"categories":6416},[],{"categories":6418},[121],{"categories":6420},[262],{"categories":6422},[165],{"categories":6424},[162],{"categories":6426},[],{"categories":6428},[170],{"categories":6430},[291],{"categories":6432},[162],{"categories":6434},[188],{"categories":6436},[165],{"categories":6438},[213],{"categories":6440},[170],{"categories":6442},[188],{"categories":6444},[121],{"categories":6446},[188],{"categories":6448},[],{"categories":6450},[162],{"categories":6452},[177],{"categories":6454},[162],{"categories":6456},[],{"categories":6458},[121],{"categories":6460},[165],{"categories":6462},[262],{"categories":6464},[162],{"categories":6466},[165],{"categories":6468},[121],{"categories":6470},[332],{"categories":6472},[162],{"categories":6474},[162],{"categories":6476},[162],{"categories":6478},[162],{"categories":6480},[162],{"categories":6482},[165],{"categories":6484},[162],{"categories":6486},[188],{"categories":6488},[213],{"categories":6490},[121],{"categories":6492},[],{"categories":6494},[162],{"categories":6496},[162],{"categories":6498},[162],{"categories":6500},[188],{"categories":6502},[121],{"categories":6504},[210],{"categories":6506},[188],{"categories":6508},[162],{"categories":6510},[177],{"categories":6512},[],{"categories":6514},[262],{"categories":6516},[188],{"categories":6518},[210],{"categories":6520},[162],{"categories":6522},[165],{"categories":6524},[121],{"categories":6526},[162],{"categories":6528},[162],{"categories":6530},[121],{"categories":6532},[177],{"categories":6534},[162],{"categories":6536},[121],{"categories":6538},[162],{"categories":6540},[170],{"categories":6542},[121],{"categories":6544},[121,332],{"categories":6546},[162],{"categories":6548},[162],{"categories":6550},[121],{"categories":6552},[188],{"categories":6554},[162],{"categories":6556},[162],{"categories":6558},[213],{"categories":6560},[121],{"categories":6562},[291],{"categories":6564},[121],{"categories":6566},[170],{"categories":6568},[],{"categories":6570},[121],{"categories":6572},[162],{"categories":6574},[170],{"categories":6576},[],{"categories":6578},[],{"categories":6580},[188],{"categories":6582},[162],{"categories":6584},[162],{"categories":6586},[121],{"categories":6588},[213],{"categories":6590},[291],{"categories":6592},[162],{"categories":6594},[162],{"categories":6596},[162],{"categories":6598},[121],{"categories":6600},[],{"categories":6602},[121],{"categories":6604},[210],{"categories":6606},[162],{"categories":6608},[121],{"categories":6610},[121],{"categories":6612},[162],{"categories":6614},[],{"categories":6616},[210],{"categories":6618},[188],{"categories":6620},[3184],{"categories":6622},[165],{"categories":6624},[188],{"categories":6626},[162],{"categories":6628},[121],{"categories":6630},[162],{"categories":6632},[162],{"categories":6634},[291],{"categories":6636},[188],{"categories":6638},[213],{"categories":6640},[],{"categories":6642},[210],{"categories":6644},[162],{"categories":6646},[162],{"categories":6648},[],{"categories":6650},[121],{"categories":6652},[162],{"categories":6654},[162],{"categories":6656},[162],{"categories":6658},[162],{"categories":6660},[121],{"categories":6662},[162],{"categories":6664},[162],{"categories":6666},[162],{"categories":6668},[177],{"categories":6670},[162],{"categories":6672},[121],{"categories":6674},[162],{"categories":6676},[162],{"categories":6678},[162],{"categories":6680},[162],{"categories":6682},[162],{"categories":6684},[162],{"categories":6686},[162],{"categories":6688},[170],{"categories":6690},[],{"categories":6692},[177],{"categories":6694},[210],{"categories":6696},[121],{"categories":6698},[162],{"categories":6700},[188],{"categories":6702},[],{"categories":6704},[188],{"categories":6706},[188],{"categories":6708},[121],{"categories":6710},[188],{"categories":6712},[162],{"categories":6714},[162],{"categories":6716},[162],{"categories":6718},[121],{"categories":6720},[188],{"categories":6722},[162],{"categories":6724},[162],{"categories":6726},[162],{"categories":6728},[121],{"categories":6730},[210],{"categories":6732},[162],{"categories":6734},[162],{"categories":6736},[162],{"categories":6738},[170],{"categories":6740},[162],{"categories":6742},[121],{"categories":6744},[262],{"categories":6746},[],{"categories":6748},[162],{"categories":6750},[213],{"categories":6752},[121],{"categories":6754},[162],{"categories":6756},[162],{"categories":6758},[],{"categories":6760},[162],{"categories":6762},[162],{"categories":6764},[210],{"categories":6766},[162],{"categories":6768},[162],{"categories":6770},[121],{"categories":6772},[291],{"categories":6774},[],{"categories":6776},[],{"categories":6778},[188],{"categories":6780},[162],{"categories":6782},[162],{"categories":6784},[210],{"categories":6786},[162],{"categories":6788},[188],{"categories":6790},[210],{"categories":6792},[162],{"categories":6794},[162],{"categories":6796},[291],{"categories":6798},[213],{"categories":6800},[162],{"categories":6802},[162],{"categories":6804},[165],{"categories":6806},[121],{"categories":6808},[162],{"categories":6810},[162],{"categories":6812},[121],{"categories":6814},[170],{"categories":6816},[121],{"categories":6818},[188],{"categories":6820},[162],{"categories":6822},[170],{"categories":6824},[],{"categories":6826},[162],{"categories":6828},[213],{"categories":6830},[162],{"categories":6832},[162],{"categories":6834},[],{"categories":6836},[210],{"categories":6838},[162],{"categories":6840},[121],{"categories":6842},[213],{"categories":6844},[162],{"categories":6846},[188],{"categories":6848},[188],{"categories":6850},[188],{"categories":6852},[162],{"categories":6854},[121],{"categories":6856},[121],{"categories":6858},[162],{"categories":6860},[121],{"categories":6862},[162],{"categories":6864},[162],{"categories":6866},[262],{"categories":6868},[213],{"categories":6870},[213],{"categories":6872},[],{"categories":6874},[210],{"categories":6876},[162],{"categories":6878},[162],{"categories":6880},[188],{"categories":6882},[],{"categories":6884},[210],{"categories":6886},[210],{"categories":6888},[210],{"categories":6890},[],{"categories":6892},[121],{"categories":6894},[162],{"categories":6896},[],{"categories":6898},[165],{"categories":6900},[170],{"categories":6902},[],{"categories":6904},[162],{"categories":6906},[162],{"categories":6908},[],{"categories":6910},[188],{"categories":6912},[],{"categories":6914},[],{"categories":6916},[],{"categories":6918},[],{"categories":6920},[162],{"categories":6922},[210],{"categories":6924},[],{"categories":6926},[],{"categories":6928},[162],{"categories":6930},[162],{"categories":6932},[162],{"categories":6934},[213],{"categories":6936},[162],{"categories":6938},[213],{"categories":6940},[],{"categories":6942},[213],{"categories":6944},[213],{"categories":6946},[332],{"categories":6948},[121],{"categories":6950},[188],{"categories":6952},[],{"categories":6954},[],{"categories":6956},[213],{"categories":6958},[188],{"categories":6960},[188],{"categories":6962},[188],{"categories":6964},[],{"categories":6966},[165],{"categories":6968},[188],{"categories":6970},[188],{"categories":6972},[165],{"categories":6974},[188],{"categories":6976},[170],{"categories":6978},[188],{"categories":6980},[188],{"categories":6982},[188],{"categories":6984},[213],{"categories":6986},[210],{"categories":6988},[210],{"categories":6990},[162],{"categories":6992},[188],{"categories":6994},[213],{"categories":6996},[332],{"categories":6998},[213],{"categories":7000},[213],{"categories":7002},[213],{"categories":7004},[],{"categories":7006},[170],{"categories":7008},[],{"categories":7010},[332],{"categories":7012},[188],{"categories":7014},[188],{"categories":7016},[188],{"categories":7018},[121],{"categories":7020},[210,170],{"categories":7022},[213],{"categories":7024},[],{"categories":7026},[],{"categories":7028},[213],{"categories":7030},[],{"categories":7032},[213],{"categories":7034},[210],{"categories":7036},[121],{"categories":7038},[],{"categories":7040},[188],{"categories":7042},[162],{"categories":7044},[262],{"categories":7046},[],{"categories":7048},[162],{"categories":7050},[],{"categories":7052},[210],{"categories":7054},[165],{"categories":7056},[213],{"categories":7058},[],{"categories":7060},[188],{"categories":7062},[210],[7064,7115,7233,7303],{"id":7065,"title":7066,"ai":7067,"body":7073,"categories":7101,"created_at":122,"date_modified":122,"description":114,"extension":123,"faq":122,"featured":124,"kicker_label":122,"meta":7102,"navigation":140,"path":7103,"published_at":7104,"question":122,"scraped_at":122,"seo":7105,"sitemap":7106,"source_id":7107,"source_name":7108,"source_type":148,"source_url":7109,"stem":7110,"tags":7111,"thumbnail_url":122,"tldr":7112,"tweet":122,"unknown_tags":7113,"__hash__":7114},"summaries\u002Fsummaries\u002Fgenerate-videos-by-slerp-walking-stable-diffusion-summary.md","Generate Videos by Slerp-Walking Stable Diffusion Latents",{"provider":7,"model":7068,"input_tokens":7069,"output_tokens":7070,"processing_time_ms":7071,"cost_usd":7072},"x-ai\u002Fgrok-4.1-fast",10775,1430,16123,0.00284735,{"type":14,"value":7074,"toc":7096},[7075,7079,7082,7086,7089,7093],[17,7076,7078],{"id":7077},"latent-space-walking-creates-hypnotic-videos","Latent Space Walking Creates Hypnotic Videos",[22,7080,7081],{},"Sample two random latents (shape 1x4x64x64 for 512x512 images), then use spherical linear interpolation (slerp) across 200 steps from init1 to init2. For each interpolated latent, run diffusion conditioned on a fixed text prompt (e.g., \"blueberry spaghetti\") with classifier-free guidance: concatenate unconditional and conditional embeddings, predict noise with UNet, apply guidance_scale=7.5, and denoise over num_inference_steps=50 using LMSDiscreteScheduler. Decode final latents via VAE to produce one frame per step. Repeat pairs up to max_frames=10000, saving JPEGs at 90% quality. Stitch with ffmpeg -r 10 -f image2 -s 512x512 -i frame%06d.jpg -vcodec libx264 -crf 10 -pix_fmt yuv420p output.mp4. This random walk yields surreal, morphing visuals without prompt changes.",[17,7083,7085],{"id":7084},"custom-diffuse-handles-guidance-and-schedulers","Custom Diffuse Handles Guidance and Schedulers",[22,7087,7088],{},"Bypass pipeline for fine control: compute unconditional embeddings from empty prompt, cat with conditional (1x77x768). Set timesteps with offset=1 if supported, eta=0.0 for DDIM compatibility. For each timestep, double latents for CFG, predict noise_pred, scale as uncond + guidance_scale*(text - uncond), step scheduler to prev_sample. Scale latents by 1\u002F0.18215 before VAE decode, clamp\u002Fpost-process to uint8 numpy. Supports LMSDiscreteScheduler (multiplies latents by sigmas initially, divides model input by sqrt(sigma^2 +1)). Slerp avoids straight-line artifacts in high-D latent space using arccos(dot) for theta, blending with sin terms if dot \u003C 0.9995.",[17,7090,7092],{"id":7091},"setup-params-and-optimizations","Setup, Params, and Optimizations",[22,7094,7095],{},"Requires Hugging Face access token for CompVis\u002Fstable-diffusion-v1-3-diffusers (or v1-4), diffusers library, torch, einops, PIL, fire (pip install fire), ~10GB VRAM for 512x512. Run: python stablediffusionwalk.py --prompt \"blueberry spaghetti\" --name outdir --num_steps 200 --num_inference_steps 50 --guidance_scale 7.5 --seed 1337 --max_frames 10000. Wrap diffuse in torch.autocast('cuda') for half-precision speedup. Higher inference steps (100-200) improve quality; guidance 3-10 tunes adherence. Users extended to prompt interpolation, fp16 models (fix dtype mismatches by upgrading diffusers\u002Ftransformers\u002Fscipy), or pipeline simplifications (pipe(prompt, latents=init, ...)).",{"title":114,"searchDepth":115,"depth":115,"links":7097},[7098,7099,7100],{"id":7077,"depth":115,"text":7078},{"id":7084,"depth":115,"text":7085},{"id":7091,"depth":115,"text":7092},[188],{},"\u002Fsummaries\u002Fgenerate-videos-by-slerp-walking-stable-diffusion-summary","2026-04-08 21:21:20",{"title":7066,"description":114},{"loc":7103},"9fd1fce56d7f77a1","Andrej Karpathy Gists","https:\u002F\u002Funknown","summaries\u002Fgenerate-videos-by-slerp-walking-stable-diffusion-summary",[153,152,155],"Interpolate random latents with slerp under a fixed prompt to create smooth, hypnotic videos from Stable Diffusion frames (50 inference steps, 7.5 guidance, 200 steps per pair).",[],"H_2GboVk_TSGTVOU3bA07RlIxGLs8Nt03Tcp69M_kQk",{"id":7116,"title":7117,"ai":7118,"body":7123,"categories":7201,"created_at":122,"date_modified":122,"description":114,"extension":123,"faq":122,"featured":124,"kicker_label":122,"meta":7202,"navigation":140,"path":7221,"published_at":122,"question":122,"scraped_at":7222,"seo":7223,"sitemap":7224,"source_id":7225,"source_name":7226,"source_type":148,"source_url":7227,"stem":7228,"tags":7229,"thumbnail_url":122,"tldr":7230,"tweet":122,"unknown_tags":7231,"__hash__":7232},"summaries\u002Fsummaries\u002Ff783931b642bec27-vibevoice-asr-60-min-asr-with-speakers-timestamps-summary.md","VibeVoice-ASR: 60-Min ASR with Speakers, Timestamps, Hotwords",{"provider":7,"model":7068,"input_tokens":7119,"output_tokens":7120,"processing_time_ms":7121,"cost_usd":7122},8981,1739,13836,0.00215885,{"type":14,"value":7124,"toc":7196},[7125,7129,7155,7162,7166,7189,7193],[17,7126,7128],{"id":7127},"unified-long-form-transcription-in-single-pass","Unified Long-Form Transcription in Single Pass",[22,7130,7131,7132,7135,7136,7139,7140,7143,7144,7135,7147,7150,7151,7154],{},"VibeVoice-ASR handles 60-minute audio within 64K tokens without chunking losses, maintaining speaker consistency and semantics. It jointly performs ASR, diarization, and timestamping, outputting JSON-like structures with Start\u002FEnd times, Speaker IDs, and Content. Load via Transformers >=5.3.0: ",[58,7133,7134],{},"AutoProcessor"," and ",[58,7137,7138],{},"VibeVoiceAsrForConditionalGeneration.from_pretrained(\"microsoft\u002FVibeVoice-ASR-HF\")",". Use ",[58,7141,7142],{},"processor.apply_transcription_request(audio)"," for inputs, then ",[58,7145,7146],{},"model.generate(**inputs)",[58,7148,7149],{},"processor.decode(generated_ids, return_format=\"parsed\")"," for list of dicts or ",[58,7152,7153],{},"\"transcription_only\""," for plain text. Example on podcast audio yields segments like {\"Start\":0,\"End\":15.43,\"Speaker\":0,\"Content\":\"Hello everyone...\"}, preserving multi-speaker flow.",[22,7156,7157,7158,7161],{},"Custom hotwords via ",[58,7159,7160],{},"prompt"," parameter fix misrecognitions: on German-accented \"VibeVoice\" audio, without prompt it transcribes \"Revevoices\", but \"About VibeVoice\" prompt corrects to exact match, ideal for names or terms.",[17,7163,7165],{"id":7164},"flexible-inference-and-optimization-techniques","Flexible Inference and Optimization Techniques",[22,7167,7168,7169,7172,7173,7176,7177,7180,7181,7184,7185,7188],{},"Batch process lists of audio\u002Fprompts for efficiency. Adjust ",[58,7170,7171],{},"tokenizer_chunk_size"," (default 1440000 samples\u002F60s at 24kHz, multiples of 3200 hop length) to fit memory, e.g., 64000 for shorter segments with cached states. Chat templates enable role-based inputs: ",[58,7174,7175],{},"[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"prompt\"},{\"type\":\"audio\",\"path\":\"url\"}]}]",", processed via ",[58,7178,7179],{},"apply_chat_template",". Torch.compile speeds up by 2x+ on benchmarks (e.g., batch-4 German audio: ~0.2s uncompiled to ~0.1s compiled). Pipeline mode works but requires custom parsing of raw JSON strings. For training, use ",[58,7182,7183],{},"model.train()"," with ",[58,7186,7187],{},"output_labels=True"," in chat templates, computing loss on JSON-like targets.",[17,7190,7192],{"id":7191},"proven-performance-across-benchmarks","Proven Performance Across Benchmarks",[22,7194,7195],{},"Achieves average 7.77% WER on Open ASR Leaderboard (e.g., 2.20% LibriSpeech clean, 13.17% earnings22, RTF 51.80x real-time). Technical report shows low DER, cpWER, tcpWER on long-form datasets. Supports 50+ languages without ID specification, handling code-switching; distribution chart emphasizes English-heavy training with broad coverage. MIT-licensed, deployable on Foundry or Gradio playground.",{"title":114,"searchDepth":115,"depth":115,"links":7197},[7198,7199,7200],{"id":7127,"depth":115,"text":7128},{"id":7164,"depth":115,"text":7165},{"id":7191,"depth":115,"text":7192},[],{"content_references":7203,"triage":7219},[7204,7209,7213,7216],{"type":7205,"title":7206,"url":7207,"context":7208},"paper","VibeVoice-ASR Technical Report","https:\u002F\u002Farxiv.org\u002Fpdf\u002F2601.18184","cited",{"type":7210,"title":7211,"url":7212,"context":131},"other","GitHub Repo","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002FVibeVoice",{"type":128,"title":7214,"url":7215,"context":131},"Live Playground","https:\u002F\u002Faka.ms\u002Fvibevoice-asr",{"type":7210,"title":7217,"url":7218,"context":7208},"Open ASR Leaderboard","https:\u002F\u002Fhuggingface.co\u002Fspaces\u002Fhf-audio\u002Fopen_asr_leaderboard",{"relevance":136,"novelty":137,"quality":137,"actionability":137,"composite":138,"reasoning":7220},"Category: AI & LLMs. The article provides a detailed overview of the VibeVoice-ASR tool, which is highly relevant for developers looking to integrate advanced ASR capabilities into their AI products. It includes practical examples of how to implement the tool, making it actionable for the target audience.","\u002Fsummaries\u002Ff783931b642bec27-vibevoice-asr-60-min-asr-with-speakers-timestamps-summary","2026-04-14 14:33:41",{"title":7117,"description":114},{"loc":7221},"f783931b642bec27","__oneoff__","https:\u002F\u002Fhuggingface.co\u002Fmicrosoft\u002FVibeVoice-ASR-HF","summaries\u002Ff783931b642bec27-vibevoice-asr-60-min-asr-with-speakers-timestamps-summary",[152,155,153],"Process up to 60 minutes of audio in one pass for structured transcripts (speaker IDs, timestamps, content) across 50+ languages, with custom hotwords boosting accuracy on proper nouns.",[],"k5A7DIi-WA3Sto8YpRe2VuLWOEJvNSRD9YjVEHARqp4",{"id":7234,"title":7235,"ai":7236,"body":7241,"categories":7284,"created_at":122,"date_modified":122,"description":114,"extension":123,"faq":122,"featured":124,"kicker_label":122,"meta":7285,"navigation":140,"path":7289,"published_at":7290,"question":122,"scraped_at":7291,"seo":7292,"sitemap":7293,"source_id":7294,"source_name":7295,"source_type":148,"source_url":7296,"stem":7297,"tags":7298,"thumbnail_url":122,"tldr":7300,"tweet":122,"unknown_tags":7301,"__hash__":7302},"summaries\u002Fsummaries\u002F93e96619473c5ad7-building-real-time-industrial-digital-twins-with-a-summary.md","Building Real-Time Industrial Digital Twins with AI",{"provider":7,"model":8,"input_tokens":7237,"output_tokens":7238,"processing_time_ms":7239,"cost_usd":7240},3909,369,2758,0.00153075,{"type":14,"value":7242,"toc":7280},[7243,7247,7250,7254,7257,7277],[17,7244,7246],{"id":7245},"from-observation-to-active-simulation","From Observation to Active Simulation",[22,7248,7249],{},"Traditional industrial digital twins often function as passive dashboards, merely visualizing historical or current machine metrics. To be effective in modern environments, digital twins must transition into active systems that understand, simulate, and predict reality. This requires moving away from static reporting toward architectures capable of processing thousands of sensor events per second to mirror the dynamic state changes of production lines and supply chains.",[17,7251,7253],{"id":7252},"architecting-for-real-time-predictive-intelligence","Architecting for Real-Time Predictive Intelligence",[22,7255,7256],{},"Building a digital twin that 'thinks' requires an infrastructure that integrates streaming data with predictive modeling. The core objective is to shift from reactive monitoring to proactive decision-making. By utilizing Python-based AI pipelines, engineers can ingest high-velocity industrial data to:",[26,7258,7259,7265,7271],{},[29,7260,7261,7264],{},[32,7262,7263],{},"Simulate Reality:"," Create virtual representations that adapt to demand fluctuations and operational shifts in real-time.",[29,7266,7267,7270],{},[32,7268,7269],{},"Predict Failures:"," Use continuous data streams to identify anomalies before they result in downtime, moving from scheduled maintenance to predictive, condition-based maintenance.",[29,7272,7273,7276],{},[32,7274,7275],{},"Enable Autonomous Decisions:"," Empower the digital twin to trigger automated responses or optimize production parameters without human intervention, effectively closing the loop between data ingestion and operational action.",[22,7278,7279],{},"This approach transforms the digital twin from a visual aid into a core component of industrial automation, allowing systems to adapt to complex, shifting operational environments.",{"title":114,"searchDepth":115,"depth":115,"links":7281},[7282,7283],{"id":7245,"depth":115,"text":7246},{"id":7252,"depth":115,"text":7253},[121],{"content_references":7286,"triage":7287},[],{"relevance":136,"novelty":137,"quality":137,"actionability":137,"composite":138,"reasoning":7288},"Category: AI Automation. The article discusses how to build real-time industrial digital twins using AI, which directly addresses the audience's interest in AI-powered product development. It provides actionable insights on integrating streaming data with predictive modeling, making it relevant and practical for engineers and product builders.","\u002Fsummaries\u002F93e96619473c5ad7-building-real-time-industrial-digital-twins-with-a-summary","2026-06-30 10:57:32","2026-06-30 12:57:12",{"title":7235,"description":114},{"loc":7289},"93e96619473c5ad7","Python in Plain English","https:\u002F\u002Fpython.plainenglish.io\u002Fbuilding-industrial-digital-twins-that-think-in-real-time-with-python-and-ai-49bb8668a050?source=rss----78073def27b8---4","summaries\u002F93e96619473c5ad7-building-real-time-industrial-digital-twins-with-a-summary",[153,152,155,7299],"automation","Modern digital twins must move beyond static dashboards to active, predictive systems that simulate and anticipate factory operations using real-time streaming data.",[],"LJpDjCRDU3uH1uBOSaJlJ3768B6Epw08opD4hPrI6fs",{"id":7304,"title":7305,"ai":7306,"body":7311,"categories":7348,"created_at":122,"date_modified":122,"description":114,"extension":123,"faq":122,"featured":124,"kicker_label":122,"meta":7349,"navigation":140,"path":7358,"published_at":7359,"question":122,"scraped_at":7360,"seo":7361,"sitemap":7362,"source_id":7363,"source_name":7364,"source_type":148,"source_url":7365,"stem":7366,"tags":7367,"thumbnail_url":122,"tldr":7369,"tweet":122,"unknown_tags":7370,"__hash__":7371},"summaries\u002Fsummaries\u002F5a3c5efdafcd9d7e-sie-dynamic-inference-for-small-models-on-shared-g-summary.md","SIE: Dynamic Inference for Small Models on Shared GPUs",{"provider":7,"model":7068,"input_tokens":7307,"output_tokens":7308,"processing_time_ms":7309,"cost_usd":7310},6765,1610,22188,0.00213535,{"type":14,"value":7312,"toc":7343},[7313,7317,7320,7324,7327,7331,7337],[17,7314,7316],{"id":7315},"combat-context-rot-with-small-model-preprocessing","Combat Context Rot with Small Model Preprocessing",[22,7318,7319],{},"Context rot degrades agent performance as input grows, per Chroma's research—quality drops regardless of mitigations. Counter it by deploying small models (occupying ~few GB GPU memory, like Stella embeddings, Glyner NER, rerankers) for data preprocessing, tool calling, or taxonomy classification. This shrinks token counts for LLMs, outperforming raw grepping or file systems. Production example: e-commerce taxonomy classification via tool calling. Community validates: Andrej Karpathy builds graph knowledge bases with NER ontologies; Chroma ships preprocessing models. Outcome: Agents handle workflows reliably without context bloat.",[17,7321,7323],{"id":7322},"avoid-wasted-gpus-ditch-one-model-per-container","Avoid Wasted GPUs: Ditch One-Model-Per-Container",[22,7325,7326],{},"Traditional inference wastes resources on small models—provisioning a full GPU per model (e.g., BERT, Qwen) leaves most idle since each needs only gigabytes. No open-source tools bridge prototyping (vLLM, TGI wrappers) to production scaling with routing, autoscaling, Prometheus\u002FGrafana monitoring, queuing, or spot instance provisioning. Result: High costs, slow model swaps. SIE fixes this with dynamic loading, hot-swapping across models on shared GPUs, and least-recently-used (LRU) memory-aware eviction for  higher utilization.",[17,7328,7330],{"id":7329},"sies-yin-yang-broad-model-support-end-to-end-infra","SIE's Yin-Yang: Broad Model Support + End-to-End Infra",[22,7332,7333,7336],{},[32,7334,7335],{},"Yin (Model Support):"," Handles ~3M Hugging Face open-source models (March count; growing fast), beating managed services on MTEB benchmarks for narrow tasks (e.g., Gemma low-param models top ELO scores). Challenges: Diverse architectures (BERT absolute positional vs. Qwen rotary; ColBERT late interaction multi-vectors; cross-encoders output scores). SIE reimplements forward pass for flash attention (variable-length, padding-aware to avoid token waste in batching), QKV fusion where possible (not with grouped query attention), normalization tweaks. Supports encode\u002Fscore\u002Fextract primitives.",[22,7338,7339,7342],{},[32,7340,7341],{},"Yang (Infrastructure):"," Router + queuing balances load across GPU pools (spot + on-demand). KEDA autoscales via Prometheus metrics. Deploy via Terraform (models as config), Helm charts, Docker images. Tested with Chroma, Quadrant, Weaviate, LanceDB. Full open-source repo: github.com\u002Fsuperlinked\u002Fsie (scan QR in talk). Trade-off: Custom forward pass adds dev effort but ensures efficiency. Deploy today for AI search\u002Fdocument processing without infra blind spots.",{"title":114,"searchDepth":115,"depth":115,"links":7344},[7345,7346,7347],{"id":7315,"depth":115,"text":7316},{"id":7322,"depth":115,"text":7323},{"id":7329,"depth":115,"text":7330},[121],{"content_references":7350,"triage":7354},[7351],{"type":7205,"title":7352,"author":7353,"context":7208},"Context Rot research","Chroma",{"relevance":137,"novelty":7355,"quality":137,"actionability":7355,"composite":7356,"reasoning":7357},3,3.6,"Category: AI & LLMs. The article discusses a practical solution for improving AI model inference efficiency, addressing a specific pain point of resource wastage in deploying small models on shared GPUs. It provides insights into dynamic loading and hot-swapping, which are actionable concepts for developers looking to optimize AI workflows.","\u002Fsummaries\u002F5a3c5efdafcd9d7e-sie-dynamic-inference-for-small-models-on-shared-g-summary","2026-05-05 17:00:06","2026-05-06 16:09:25",{"title":7305,"description":114},{"loc":7358},"bbc8383ee49f0e37","AI Engineer","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=qdh_x-uRs9g","summaries\u002F5a3c5efdafcd9d7e-sie-dynamic-inference-for-small-models-on-shared-g-summary",[152,7368,154,155],"open-source","Open-source SIE engine from Superlinked enables hot-swapping small embedding models (e.g., Stella, ColBERT) on one GPU via LRU eviction, cutting costs and solving context rot in agents by preprocessing data.",[],"p0jDc4j7qIqcnFdESvkDp_8zWswz0R-R4QgwPcNJ7Bg"]