[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-master-job-relevant-python-ai-libraries-for-2026-h-summary":3,"summaries-facets-categories":66,"summary-related-master-job-relevant-python-ai-libraries-for-2026-h-summary":6970},{"id":4,"title":5,"ai":6,"body":13,"categories":44,"created_at":46,"date_modified":46,"description":39,"extension":47,"faq":46,"featured":48,"kicker_label":46,"meta":49,"navigation":50,"path":51,"published_at":52,"question":46,"scraped_at":46,"seo":53,"sitemap":54,"source_id":55,"source_name":56,"source_type":57,"source_url":58,"stem":59,"tags":60,"thumbnail_url":46,"tldr":63,"tweet":46,"unknown_tags":64,"__hash__":65},"summaries\u002Fsummaries\u002Fmaster-job-relevant-python-ai-libraries-for-2026-h-summary.md","Master Job-Relevant Python AI Libraries for 2026 Hires",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","x-ai\u002Fgrok-4.1-fast",3647,887,8684,0.0011504,{"type":14,"value":15,"toc":38},"minimark",[16,21,25,29,32],[17,18,20],"h2",{"id":19},"shift-from-generalists-to-production-specialists","Shift from Generalists to Production Specialists",[22,23,24],"p",{},"Python boasts 1.19 million LinkedIn job listings, but roles target engineers mastering specific libraries for real systems, not broad knowledge. Beginners fail interviews by learning demo-focused tools that don't scale to production codebases or job descriptions. Success requires picking libraries tied to target AI fields, as the landscape evolves rapidly without clear guidance.",[17,26,28],{"id":27},"evaluate-libraries-by-field-and-impact","Evaluate Libraries by Field and Impact",[22,30,31],{},"Prioritize the 5 libraries repeatedly appearing in production and hiring: each serves distinct AI domains (details cut off in source). Use this framework to select: match tool to your career path, verify job relevance via listings, and build deep systems—not superficial demos—to signal hireability. This guide kickstarts targeted learning over scattered exploration.",[22,33,34],{},[35,36,37],"em",{},"Content is introductory and truncated before listing libraries, limiting specifics; core lesson is tool-job alignment for employability.",{"title":39,"searchDepth":40,"depth":40,"links":41},"",2,[42,43],{"id":19,"depth":40,"text":20},{"id":27,"depth":40,"text":28},[45],"AI & LLMs",null,"md",false,{},true,"\u002Fsummaries\u002Fmaster-job-relevant-python-ai-libraries-for-2026-h-summary","2026-04-08 21:21:18",{"title":5,"description":39},{"loc":51},"61e00e4895cc707e","Python in Plain English","article","https:\u002F\u002Funknown","summaries\u002Fmaster-job-relevant-python-ai-libraries-for-2026-h-summary",[61,62],"python","ai-tools","AI interviews fail on non-production tools; employers seek deep expertise in 5 specific Python libraries amid 1.19M job listings demanding real-system builders.",[],"0LgeuClXQ8J58L2XMZhdZL5qUlFwRqEnwm5plw1-sMg",[67,69,72,74,77,79,82,85,87,89,91,93,96,98,100,102,104,107,109,111,113,115,118,121,123,125,127,129,131,133,135,137,139,141,143,145,147,149,151,153,155,157,159,161,163,165,167,170,172,174,176,178,180,182,184,186,188,190,192,194,196,199,201,203,205,207,209,211,213,215,217,219,221,223,225,227,229,231,233,235,237,240,242,244,246,248,250,252,254,256,258,260,262,264,266,269,271,273,275,277,279,281,283,285,287,289,291,293,295,297,299,301,303,305,307,309,311,313,315,317,319,321,323,325,327,329,331,334,336,338,340,342,344,346,348,350,352,354,357,359,361,363,365,367,369,371,373,375,377,379,381,383,385,387,390,392,394,396,398,400,402,404,406,408,410,413,415,417,419,421,423,425,427,429,431,433,435,437,439,441,443,445,447,449,451,453,455,457,459,461,463,465,467,469,472,474,476,479,481,483,485,487,489,491,493,495,497,499,501,503,505,507,509,511,513,515,518,520,522,524,526,528,530,532,534,536,538,540,543,545,547,549,551,553,555,557,559,561,563,565,567,569,571,573,575,577,579,581,583,585,587,589,591,593,595,597,599,601,603,605,607,609,611,613,615,617,619,621,623,625,627,629,631,633,635,637,639,641,643,645,647,649,651,653,655,657,659,661,663,665,667,669,671,673,675,677,679,681,683,685,687,689,691,693,695,697,699,701,703,705,707,709,711,713,715,717,719,721,723,725,727,729,731,733,735,737,739,741,743,745,747,749,751,753,755,757,759,761,763,765,767,769,771,773,775,777,779,781,783,785,787,789,791,793,795,797,799,801,803,805,807,809,811,813,815,817,819,821,823,825,827,830,832,834,836,838,841,843,845,847,849,851,853,855,857,859,861,863,865,868,870,872,874,876,878,880,882,884,886,888,890,892,894,896,898,900,902,904,906,908,910,912,914,916,918,920,922,924,926,928,930,932,934,936,938,940,942,944,946,948,950,952,954,956,958,960,962,964,966,968,970,972,974,976,978,980,982,984,986,988,990,992,994,996,998,1000,1002,1004,1006,1008,1010,1012,1014,1016,1018,1020,1022,1024,1026,1028,1030,1032,1034,1036,1038,1040,1042,1044,1046,1048,1050,1052,1054,1056,1058,1060,1062,1064,1066,1068,1070,1072,1074,1076,1078,1080,1082,1084,1086,1088,1090,1092,1094,1096,1098,1100,1102,1104,1106,1108,1110,1112,1114,1116,1118,1120,1122,1124,1126,1128,1130,1132,1134,1136,1138,1140,1142,1144,1146,1148,1150,1152,1154,1156,1158,1160,1162,1164,1166,1168,1170,1172,1174,1176,1178,1180,1182,1184,1186,1188,1190,1193,1195,1197,1199,1201,1203,1205,1207,1209,1211,1213,1215,1217,1219,1221,1223,1225,1227,1229,1231,1233,1235,1237,1239,1241,1243,1245,1247,1249,1251,1253,1255,1257,1259,1261,1263,1265,1267,1269,1271,1273,1275,1277,1279,1281,1283,1285,1287,1289,1291,1293,1295,1297,1299,1301,1303,1305,1307,1309,1311,1313,1315,1317,1319,1321,1323,1325,1327,1329,1331,1333,1335,1337,1339,1341,1343,1345,1347,1349,1351,1353,1355,1357,1359,1361,1363,1365,1367,1369,1371,1373,1375,1377,1379,1381,1383,1385,1387,1389,1391,1394,1396,1398,1400,1402,1404,1406,1408,1410,1412,1414,1416,1418,1420,1422,1424,1426,1428,1430,1432,1434,1436,1438,1440,1442,1444,1446,1448,1450,1452,1454,1456,1458,1460,1462,1464,1466,1468,1470,1472,1474,1476,1478,1480,1482,1484,1486,1488,1490,1492,1494,1496,1498,1500,1502,1504,1506,1508,1510,1512,1514,1516,1518,1520,1522,1524,1526,1528,1530,1533,1535,1537,1539,1541,1543,1545,1547,1549,1551,1553,1555,1557,1559,1561,1563,1565,1567,1569,1571,1573,1575,1577,1579,1581,1583,1585,1587,1589,1591,1593,1595,1597,1599,1601,1603,1605,1607,1609,1611,1613,1615,1617,1619,1621,1623,1625,1627,1629,1631,1633,1635,1637,1639,1641,1643,1645,1647,1649,1651,1653,1655,1657,1659,1661,1663,1665,1667,1669,1671,1673,1675,1677,1679,1681,1683,1685,1687,1689,1692,1694,1696,1698,1700,1702,1704,1706,1708,1710,1712,1714,1716,1718,1720,1722,1724,1726,1728,1730,1732,1734,1736,1738,1740,1742,1744,1746,1748,1750,1752,1755,1757,1759,1761,1763,1765,1767,1769,1771,1773,1775,1777,1779,1781,1783,1785,1787,1789,1791,1793,1795,1797,1799,1801,1803,1805,1807,1809,1811,1813,1815,1817,1819,1821,1823,1825,1827,1829,1831,1833,1835,1837,1839,1841,1843,1845,1847,1849,1851,1853,1855,1857,1859,1861,1863,1865,1867,1869,1871,1873,1875,1877,1879,1881,1883,1885,1887,1889,1891,1893,1895,1897,1899,1901,1903,1905,1907,1909,1911,1913,1915,1917,1919,1921,1923,1925,1927,1929,1931,1933,1935,1937,1939,1941,1943,1945,1947,1949,1951,1953,1955,1957,1959,1961,1963,1965,1967,1969,1971,1973,1975,1977,1979,1981,1983,1985,1987,1989,1991,1993,1995,1997,1999,2001,2003,2005,2007,2009,2011,2013,2015,2017,2019,2021,2023,2025,2027,2029,2031,2033,2035,2037,2039,2041,2043,2045,2047,2049,2051,2053,2055,2057,2059,2061,2063,2065,2067,2069,2071,2073,2075,2077,2079,2081,2083,2085,2087,2089,2091,2093,2095,2097,2099,2101,2103,2105,2107,2109,2111,2113,2115,2117,2119,2121,2123,2125,2127,2129,2131,2133,2135,2137,2139,2141,2143,2145,2147,2149,2151,2153,2155,2157,2159,2161,2163,2165,2167,2169,2171,2173,2175,2177,2179,2181,2183,2185,2187,2189,2191,2193,2196,2198,2200,2202,2204,2206,2208,2210,2212,2214,2216,2218,2220,2222,2224,2226,2228,2230,2232,2234,2236,2238,2240,2242,2244,2246,2248,2250,2252,2254,2256,2258,2260,2262,2264,2266,2268,2270,2272,2274,2276,2278,2280,2282,2284,2286,2289,2291,2293,2295,2297,2299,2301,2303,2305,2307,2309,2311,2313,2315,2317,2319,2321,2323,2325,2327,2329,2331,2333,2335,2337,2339,2341,2343,2345,2347,2349,2351,2353,2355,2357,2359,2361,2363,2365,2367,2369,2371,2373,2375,2377,2379,2381,2383,2385,2387,2389,2391,2393,2395,2397,2399,2401,2403,2405,2408,2410,2412,2414,2416,2418,2420,2422,2424,2426,2428,2430,2432,2434,2436,2438,2440,2442,2444,2446,2448,2451,2453,2455,2457,2459,2461,2463,2465,2467,2469,2471,2473,2475,2477,2479,2481,2483,2485,2487,2489,2491,2493,2495,2497,2499,2501,2503,2505,2507,2509,2511,2513,2515,2517,2519,2521,2523,2525,2527,2529,2531,2533,2535,2537,2539,2541,2543,2545,2547,2549,2551,2553,2555,2557,2559,2561,2563,2565,2567,2569,2571,2573,2575,2577,2579,2581,2583,2585,2587,2589,2591,2593,2595,2597,2599,2601,2603,2605,2607,2609,2611,2613,2615,2617,2619,2621,2623,2625,2627,2629,2631,2633,2635,2637,2639,2641,2643,2645,2647,2649,2651,2653,2655,2657,2659,2661,2663,2665,2667,2669,2671,2673,2675,2677,2679,2681,2683,2685,2687,2689,2691,2693,2695,2697,2699,2701,2703,2705,2707,2709,2711,2713,2715,2717,2719,2721,2723,2725,2727,2729,2731,2733,2735,2737,2739,2741,2743,2745,2747,2749,2751,2753,2755,2757,2759,2761,2763,2765,2767,2769,2771,2773,2775,2777,2779,2781,2783,2785,2787,2789,2791,2793,2795,2797,2799,2801,2803,2805,2807,2809,2811,2813,2815,2817,2819,2821,2823,2825,2827,2829,2831,2833,2835,2837,2839,2841,2843,2845,2847,2849,2851,2853,2855,2857,2859,2861,2863,2865,2867,2869,2871,2873,2875,2877,2879,2881,2883,2885,2887,2889,2891,2893,2895,2897,2899,2901,2903,2905,2907,2909,2911,2913,2915,2917,2919,2921,2923,2925,2927,2929,2931,2933,2935,2937,2939,2941,2943,2945,2947,2949,2951,2953,2955,2957,2959,2961,2963,2965,2967,2969,2971,2973,2975,2977,2979,2981,2983,2985,2987,2989,2991,2993,2995,2997,2999,3001,3003,3005,3007,3009,3011,3013,3015,3017,3019,3021,3023,3025,3027,3029,3031,3033,3035,3037,3039,3041,3043,3045,3047,3049,3051,3053,3055,3057,3059,3061,3063,3065,3067,3069,3071,3073,3075,3077,3079,3081,3083,3085,3087,3089,3092,3094,3096,3098,3100,3102,3104,3106,3108,3110,3112,3114,3116,3118,3120,3122,3124,3126,3128,3130,3132,3134,3136,3138,3140,3142,3144,3146,3148,3150,3152,3154,3156,3158,3160,3162,3164,3166,3168,3170,3172,3174,3176,3178,3180,3182,3184,3186,3188,3190,3192,3194,3196,3198,3200,3202,3204,3206,3208,3210,3212,3214,3216,3219,3221,3223,3225,3227,3229,3231,3233,3235,3237,3239,3241,3243,3245,3247,3249,3251,3253,3255,3257,3259,3261,3263,3265,3267,3269,3271,3273,3275,3277,3279,3281,3283,3285,3287,3289,3291,3293,3295,3297,3299,3301,3303,3305,3307,3309,3311,3313,3315,3317,3319,3321,3323,3325,3327,3329,3331,3333,3335,3337,3339,3341,3343,3345,3347,3349,3351,3353,3355,3357,3359,3361,3363,3365,3367,3369,3371,3373,3375,3377,3379,3381,3383,3385,3387,3389,3391,3393,3395,3397,3399,3401,3403,3405,3407,3409,3411,3413,3415,3417,3419,3421,3423,3425,3427,3429,3431,3433,3435,3437,3439,3441,3443,3445,3447,3449,3451,3453,3455,3457,3459,3461,3463,3465,3467,3469,3471,3473,3475,3477,3479,3481,3483,3485,3487,3489,3491,3493,3495,3497,3499,3501,3503,3505,3507,3509,3511,3513,3515,3517,3519,3521,3523,3525,3527,3529,3531,3533,3535,3537,3539,3541,3543,3545,3547,3549,3551,3553,3555,3557,3559,3561,3563,3565,3567,3569,3571,3573,3575,3577,3579,3581,3583,3585,3587,3589,3591,3593,3595,3597,3599,3601,3603,3605,3607,3609,3611,3613,3615,3617,3619,3621,3623,3625,3627,3629,3631,3633,3635,3637,3639,3641,3643,3645,3647,3649,3651,3653,3655,3657,3659,3661,3663,3665,3667,3669,3671,3673,3675,3677,3679,3681,3683,3685,3687,3689,3691,3693,3695,3697,3699,3701,3703,3705,3707,3709,3711,3713,3715,3717,3719,3721,3723,3725,3727,3729,3731,3733,3735,3737,3739,3741,3743,3745,3747,3749,3751,3753,3755,3757,3759,3761,3763,3765,3767,3769,3771,3773,3775,3777,3779,3781,3783,3785,3787,3789,3791,3793,3795,3797,3799,3801,3803,3805,3807,3809,3811,3813,3815,3817,3819,3821,3823,3825,3827,3829,3831,3833,3835,3837,3839,3841,3843,3845,3847,3849,3851,3853,3855,3857,3859,3861,3863,3865,3867,3869,3871,3873,3875,3877,3879,3881,3883,3885,3887,3889,3891,3893,3895,3897,3899,3901,3903,3905,3907,3909,3911,3913,3915,3917,3919,3921,3923,3925,3927,3929,3931,3933,3935,3937,3939,3941,3943,3945,3947,3949,3951,3953,3955,3957,3959,3961,3963,3965,3967,3969,3971,3973,3975,3977,3979,3981,3983,3985,3987,3989,3991,3993,3995,3997,3999,4001,4003,4005,4007,4009,4011,4013,4015,4017,4019,4021,4023,4025,4027,4029,4031,4033,4035,4037,4039,4041,4043,4045,4047,4049,4051,4053,4055,4057,4059,4061,4063,4065,4067,4069,4071,4073,4075,4077,4079,4081,4083,4085,4087,4089,4091,4093,4095,4097,4099,4101,4103,4105,4107,4109,4111,4113,4115,4117,4119,4121,4123,4125,4127,4129,4131,4133,4135,4137,4139,4141,4143,4145,4147,4149,4151,4153,4155,4157,4159,4161,4163,4165,4167,4169,4171,4173,4175,4177,4179,4181,4183,4185,4187,4189,4191,4193,4195,4197,4199,4201,4203,4205,4207,4209,4211,4213,4215,4217,4219,4221,4223,4225,4227,4229,4231,4233,4235,4237,4239,4241,4243,4245,4247,4249,4251,4253,4255,4257,4259,4261,4263,4265,4267,4269,4271,4273,4275,4277,4279,4281,4283,4285,4287,4289,4291,4293,4295,4297,4299,4301,4303,4305,4307,4309,4311,4313,4315,4317,4319,4321,4323,4325,4327,4329,4331,4333,4335,4337,4339,4341,4343,4345,4347,4349,4351,4353,4355,4357,4359,4361,4363,4365,4367,4369,4371,4373,4375,4377,4379,4381,4383,4385,4387,4389,4391,4393,4395,4397,4399,4401,4403,4405,4407,4409,4411,4413,4415,4417,4419,4421,4423,4425,4427,4429,4431,4433,4435,4437,4439,4441,4443,4445,4447,4449,4451,4453,4455,4457,4459,4461,4463,4465,4467,4469,4471,4473,4475,4477,4479,4481,4483,4485,4487,4489,4491,4493,4495,4497,4499,4501,4504,4506,4508,4510,4512,4514,4516,4518,4520,4522,4524,4526,4528,4530,4532,4534,4536,4538,4540,4542,4544,4546,4548,4550,4552,4554,4556,4558,4560,4562,4564,4566,4568,4570,4572,4574,4576,4578,4580,4582,4584,4586,4588,4590,4592,4594,4596,4598,4600,4602,4604,4606,4608,4610,4612,4614,4616,4618,4620,4622,4624,4626,4628,4630,4632,4634,4636,4638,4640,4642,4644,4646,4648,4650,4652,4654,4656,4658,4660,4662,4664,4666,4668,4670,4672,4674,4676,4678,4680,4682,4684,4686,4688,4690,4692,4694,4696,4698,4700,4702,4704,4706,4708,4710,4712,4714,4716,4718,4720,4722,4724,4726,4728,4730,4732,4734,4736,4738,4740,4742,4744,4746,4748,4750,4752,4754,4756,4758,4760,4762,4764,4766,4768,4770,4772,4774,4776,4778,4780,4782,4784,4786,4788,4790,4792,4794,4796,4798,4800,4802,4804,4806,4808,4810,4812,4814,4816,4818,4820,4822,4824,4826,4828,4830,4832,4834,4836,4838,4840,4842,4844,4846,4848,4850,4852,4854,4856,4858,4860,4862,4864,4866,4868,4870,4872,4874,4876,4878,4880,4882,4884,4886,4888,4890,4892,4894,4896,4898,4900,4902,4904,4906,4908,4910,4912,4914,4916,4918,4920,4922,4924,4926,4928,4930,4932,4934,4936,4938,4940,4942,4944,4946,4948,4950,4952,4954,4956,4958,4960,4962,4964,4966,4968,4970,4972,4974,4976,4978,4980,4982,4984,4986,4988,4990,4992,4994,4996,4998,5000,5002,5004,5006,5008,5010,5012,5014,5016,5018,5020,5022,5024,5026,5028,5030,5032,5034,5036,5038,5040,5042,5044,5046,5048,5050,5052,5054,5056,5058,5060,5062,5064,5066,5068,5070,5072,5074,5076,5078,5080,5082,5084,5086,5088,5090,5092,5094,5096,5098,5100,5102,5104,5106,5108,5110,5112,5114,5116,5118,5120,5122,5124,5126,5128,5130,5132,5134,5136,5138,5140,5142,5144,5146,5148,5150,5152,5154,5156,5158,5160,5162,5164,5166,5168,5170,5172,5174,5176,5178,5180,5182,5184,5186,5188,5190,5192,5194,5196,5198,5200,5202,5204,5206,5208,5210,5212,5214,5216,5218,5220,5222,5224,5226,5228,5230,5232,5234,5236,5238,5240,5242,5244,5246,5248,5250,5252,5254,5256,5258,5260,5262,5264,5266,5268,5270,5272,5274,5276,5278,5280,5282,5284,5286,5288,5290,5292,5294,5296,5298,5300,5302,5304,5306,5308,5310,5312,5314,5316,5318,5320,5322,5324,5326,5328,5330,5332,5334,5336,5338,5340,5342,5344,5346,5348,5350,5352,5354,5356,5358,5361,5363,5365,5367,5369,5371,5373,5375,5377,5379,5381,5383,5385,5387,5389,5391,5393,5395,5397,5399,5401,5403,5405,5407,5409,5411,5413,5415,5417,5419,5421,5423,5425,5427,5429,5431,5433,5435,5437,5439,5441,5443,5445,5447,5449,5451,5453,5455,5457,5459,5461,5463,5465,5467,5469,5471,5473,5475,5477,5479,5481,5483,5485,5487,5489,5491,5493,5495,5497,5499,5501,5503,5505,5507,5509,5511,5513,5515,5517,5519,5521,5523,5525,5527,5529,5531,5533,5535,5537,5539,5541,5543,5545,5547,5549,5551,5553,5555,5557,5559,5561,5564,5566,5568,5570,5572,5574,5576,5578,5580,5582,5584,5586,5588,5590,5592,5594,5596,5598,5600,5602,5604,5606,5608,5610,5612,5614,5616,5618,5620,5622,5624,5626,5628,5630,5632,5634,5636,5638,5640,5642,5644,5646,5648,5650,5652,5654,5656,5658,5660,5662,5664,5666,5668,5670,5672,5674,5676,5678,5680,5682,5684,5686,5688,5690,5692,5694,5696,5698,5700,5702,5704,5706,5708,5710,5712,5714,5716,5718,5720,5722,5724,5726,5728,5730,5732,5734,5736,5738,5740,5742,5744,5746,5748,5750,5752,5754,5756,5758,5760,5762,5764,5766,5768,5770,5772,5774,5776,5778,5780,5782,5784,5786,5788,5790,5792,5794,5796,5798,5800,5802,5804,5806,5808,5810,5812,5814,5816,5818,5820,5822,5824,5826,5828,5830,5832,5834,5836,5838,5840,5842,5844,5846,5848,5850,5852,5854,5856,5858,5860,5862,5864,5866,5868,5870,5872,5874,5876,5878,5880,5882,5884,5886,5888,5890,5892,5894,5896,5898,5900,5902,5904,5906,5908,5910,5912,5914,5916,5918,5920,5922,5924,5926,5928,5930,5932,5934,5936,5938,5940,5942,5944,5946,5948,5950,5952,5954,5956,5958,5960,5962,5964,5966,5968,5970,5972,5974,5976,5978,5980,5982,5984,5986,5988,5990,5992,5994,5996,5998,6000,6002,6004,6006,6008,6010,6012,6014,6016,6018,6020,6022,6024,6026,6028,6030,6032,6034,6036,6038,6040,6042,6044,6046,6048,6050,6052,6054,6056,6058,6060,6062,6064,6066,6068,6070,6072,6074,6076,6078,6080,6082,6084,6086,6088,6090,6092,6094,6096,6098,6100,6102,6104,6106,6108,6110,6112,6114,6116,6118,6120,6122,6124,6126,6128,6130,6132,6134,6136,6138,6140,6142,6144,6146,6148,6150,6152,6154,6156,6158,6160,6162,6164,6166,6168,6170,6172,6174,6176,6178,6180,6182,6184,6186,6188,6190,6192,6194,6196,6198,6200,6202,6204,6206,6208,6210,6212,6214,6216,6218,6220,6222,6224,6226,6228,6230,6232,6234,6236,6238,6240,6242,6244,6246,6248,6250,6252,6254,6256,6258,6260,6262,6264,6266,6268,6270,6272,6274,6276,6278,6280,6282,6284,6286,6288,6290,6292,6294,6296,6298,6300,6302,6304,6306,6308,6310,6312,6314,6316,6318,6320,6322,6324,6326,6328,6330,6332,6334,6336,6338,6340,6342,6344,6346,6348,6350,6352,6354,6356,6358,6360,6362,6364,6366,6368,6370,6372,6374,6376,6378,6380,6382,6384,6386,6388,6390,6392,6394,6396,6398,6400,6402,6404,6406,6408,6410,6412,6414,6416,6418,6420,6422,6424,6426,6428,6430,6432,6434,6436,6438,6440,6442,6444,6446,6448,6450,6452,6454,6456,6458,6460,6462,6464,6466,6468,6470,6472,6474,6476,6478,6480,6482,6484,6486,6488,6490,6492,6494,6496,6498,6500,6502,6504,6506,6508,6510,6512,6514,6516,6518,6520,6522,6524,6526,6528,6530,6532,6534,6536,6538,6540,6542,6544,6546,6548,6550,6552,6554,6556,6558,6560,6562,6564,6566,6568,6570,6572,6574,6576,6578,6580,6582,6584,6586,6588,6590,6592,6594,6596,6598,6600,6602,6604,6606,6608,6610,6612,6614,6616,6618,6620,6622,6624,6626,6628,6630,6632,6634,6636,6638,6640,6642,6644,6646,6648,6650,6652,6654,6656,6658,6660,6662,6664,6666,6668,6670,6672,6674,6676,6678,6680,6682,6684,6686,6688,6690,6692,6694,6696,6698,6700,6702,6704,6706,6708,6710,6712,6714,6716,6718,6720,6722,6724,6726,6728,6730,6732,6734,6736,6738,6740,6742,6744,6746,6748,6750,6752,6754,6756,6758,6760,6762,6764,6766,6768,6770,6772,6774,6776,6778,6780,6782,6784,6786,6788,6790,6792,6794,6796,6798,6800,6802,6804,6806,6808,6810,6812,6814,6816,6818,6820,6822,6824,6826,6828,6830,6832,6834,6836,6838,6840,6842,6844,6846,6848,6850,6852,6854,6856,6858,6860,6862,6864,6866,6868,6870,6872,6874,6876,6878,6880,6882,6884,6886,6888,6890,6892,6894,6896,6898,6900,6902,6904,6906,6908,6910,6912,6914,6916,6918,6920,6922,6924,6926,6928,6930,6932,6934,6936,6938,6940,6942,6944,6946,6948,6950,6952,6954,6956,6958,6960,6962,6964,6966,6968],{"categories":68},[45],{"categories":70},[71],"Developer Productivity",{"categories":73},[45],{"categories":75},[76],"Business & SaaS",{"categories":78},[45],{"categories":80},[81],"AI Automation",{"categories":83},[84],"Product Strategy",{"categories":86},[81],{"categories":88},[45],{"categories":90},[71],{"categories":92},[81],{"categories":94},[95],"Software Engineering",{"categories":97},[45],{"categories":99},[76],{"categories":101},[],{"categories":103},[45],{"categories":105},[106],"Inference & Serving",{"categories":108},[45],{"categories":110},[45],{"categories":112},[81],{"categories":114},[],{"categories":116},[117],"AI News & Trends",{"categories":119},[120],"Data Science & Visualization",{"categories":122},[81],{"categories":124},[45],{"categories":126},[45],{"categories":128},[76],{"categories":130},[71],{"categories":132},[45],{"categories":134},[81],{"categories":136},[117],{"categories":138},[45],{"categories":140},[81],{"categories":142},[81],{"categories":144},[45],{"categories":146},[45],{"categories":148},[81],{"categories":150},[45],{"categories":152},[45],{"categories":154},[45],{"categories":156},[81],{"categories":158},[117],{"categories":160},[45],{"categories":162},[45],{"categories":164},[45],{"categories":166},[],{"categories":168},[169],"Design & Frontend",{"categories":171},[120],{"categories":173},[117],{"categories":175},[45],{"categories":177},[45],{"categories":179},[45],{"categories":181},[],{"categories":183},[45],{"categories":185},[45],{"categories":187},[81],{"categories":189},[95],{"categories":191},[45],{"categories":193},[81],{"categories":195},[45],{"categories":197},[198],"Marketing & Growth",{"categories":200},[169],{"categories":202},[45],{"categories":204},[81],{"categories":206},[45],{"categories":208},[45],{"categories":210},[95],{"categories":212},[45],{"categories":214},[],{"categories":216},[],{"categories":218},[169],{"categories":220},[45],{"categories":222},[81],{"categories":224},[71],{"categories":226},[95],{"categories":228},[81],{"categories":230},[169],{"categories":232},[84],{"categories":234},[45],{"categories":236},[95],{"categories":238},[239],"DevOps & Cloud",{"categories":241},[81],{"categories":243},[84],{"categories":245},[117],{"categories":247},[45],{"categories":249},[],{"categories":251},[45],{"categories":253},[45],{"categories":255},[],{"categories":257},[81],{"categories":259},[95],{"categories":261},[],{"categories":263},[95],{"categories":265},[45],{"categories":267},[268],"Governance & Standards",{"categories":270},[76],{"categories":272},[],{"categories":274},[],{"categories":276},[45],{"categories":278},[45],{"categories":280},[81],{"categories":282},[45],{"categories":284},[45],{"categories":286},[81],{"categories":288},[45],{"categories":290},[45],{"categories":292},[45],{"categories":294},[],{"categories":296},[95],{"categories":298},[],{"categories":300},[],{"categories":302},[45],{"categories":304},[95],{"categories":306},[],{"categories":308},[95],{"categories":310},[45],{"categories":312},[45],{"categories":314},[198],{"categories":316},[45],{"categories":318},[45],{"categories":320},[45],{"categories":322},[169],{"categories":324},[169],{"categories":326},[45],{"categories":328},[95],{"categories":330},[81],{"categories":332},[333],"GovTech & Public-Sector Adoption",{"categories":335},[95],{"categories":337},[45],{"categories":339},[45],{"categories":341},[45],{"categories":343},[81],{"categories":345},[81],{"categories":347},[120],{"categories":349},[45],{"categories":351},[117],{"categories":353},[81],{"categories":355},[356],"Legal AI Tools",{"categories":358},[45],{"categories":360},[81],{"categories":362},[45],{"categories":364},[198],{"categories":366},[81],{"categories":368},[84],{"categories":370},[45],{"categories":372},[95],{"categories":374},[333],{"categories":376},[],{"categories":378},[81],{"categories":380},[],{"categories":382},[76],{"categories":384},[81],{"categories":386},[81],{"categories":388},[389],"RAG & Retrieval",{"categories":391},[76],{"categories":393},[45],{"categories":395},[95],{"categories":397},[95],{"categories":399},[239],{"categories":401},[169],{"categories":403},[81],{"categories":405},[45],{"categories":407},[45],{"categories":409},[],{"categories":411},[412],"Agents & Orchestration",{"categories":414},[95],{"categories":416},[45],{"categories":418},[],{"categories":420},[81],{"categories":422},[76],{"categories":424},[],{"categories":426},[45],{"categories":428},[],{"categories":430},[45],{"categories":432},[71],{"categories":434},[95],{"categories":436},[76],{"categories":438},[45],{"categories":440},[81],{"categories":442},[45],{"categories":444},[117],{"categories":446},[45],{"categories":448},[],{"categories":450},[45],{"categories":452},[],{"categories":454},[45],{"categories":456},[95],{"categories":458},[45],{"categories":460},[81],{"categories":462},[120],{"categories":464},[],{"categories":466},[45],{"categories":468},[169],{"categories":470},[471],"Models & Frontier Labs",{"categories":473},[],{"categories":475},[169],{"categories":477},[478],"Regulation & Governance of AI",{"categories":480},[84],{"categories":482},[81],{"categories":484},[],{"categories":486},[45],{"categories":488},[45],{"categories":490},[81],{"categories":492},[81],{"categories":494},[117],{"categories":496},[45],{"categories":498},[76],{"categories":500},[45],{"categories":502},[81],{"categories":504},[],{"categories":506},[95],{"categories":508},[81],{"categories":510},[45],{"categories":512},[84],{"categories":514},[45],{"categories":516},[517],"AI Policy & Regulation",{"categories":519},[],{"categories":521},[45],{"categories":523},[81],{"categories":525},[84],{"categories":527},[81],{"categories":529},[45],{"categories":531},[45],{"categories":533},[45],{"categories":535},[81],{"categories":537},[],{"categories":539},[120],{"categories":541},[542],"Evals & Reliability",{"categories":544},[45],{"categories":546},[45],{"categories":548},[],{"categories":550},[71],{"categories":552},[333],{"categories":554},[517],{"categories":556},[45],{"categories":558},[76],{"categories":560},[45],{"categories":562},[81],{"categories":564},[45],{"categories":566},[81],{"categories":568},[412],{"categories":570},[45],{"categories":572},[95],{"categories":574},[45],{"categories":576},[],{"categories":578},[169],{"categories":580},[],{"categories":582},[45],{"categories":584},[333],{"categories":586},[45],{"categories":588},[45],{"categories":590},[45],{"categories":592},[],{"categories":594},[45],{"categories":596},[169],{"categories":598},[95],{"categories":600},[],{"categories":602},[45],{"categories":604},[],{"categories":606},[81],{"categories":608},[45],{"categories":610},[169],{"categories":612},[],{"categories":614},[45],{"categories":616},[45],{"categories":618},[120],{"categories":620},[81],{"categories":622},[45],{"categories":624},[76],{"categories":626},[81],{"categories":628},[45],{"categories":630},[45],{"categories":632},[95],{"categories":634},[169],{"categories":636},[45],{"categories":638},[81],{"categories":640},[],{"categories":642},[95],{"categories":644},[81],{"categories":646},[120],{"categories":648},[],{"categories":650},[45],{"categories":652},[117],{"categories":654},[45],{"categories":656},[],{"categories":658},[45],{"categories":660},[45],{"categories":662},[45],{"categories":664},[76,198],{"categories":666},[],{"categories":668},[95],{"categories":670},[45],{"categories":672},[45],{"categories":674},[81],{"categories":676},[45],{"categories":678},[],{"categories":680},[],{"categories":682},[45],{"categories":684},[169],{"categories":686},[45],{"categories":688},[],{"categories":690},[45],{"categories":692},[239],{"categories":694},[],{"categories":696},[81],{"categories":698},[117],{"categories":700},[45],{"categories":702},[45],{"categories":704},[169],{"categories":706},[],{"categories":708},[117],{"categories":710},[45],{"categories":712},[106],{"categories":714},[45],{"categories":716},[45],{"categories":718},[81],{"categories":720},[117],{"categories":722},[471],{"categories":724},[45],{"categories":726},[198],{"categories":728},[],{"categories":730},[81],{"categories":732},[76],{"categories":734},[95],{"categories":736},[45],{"categories":738},[81],{"categories":740},[],{"categories":742},[45,239],{"categories":744},[45],{"categories":746},[45],{"categories":748},[45],{"categories":750},[81],{"categories":752},[45,95],{"categories":754},[120],{"categories":756},[45],{"categories":758},[45],{"categories":760},[45],{"categories":762},[95],{"categories":764},[45],{"categories":766},[81],{"categories":768},[81],{"categories":770},[517],{"categories":772},[198],{"categories":774},[45],{"categories":776},[81],{"categories":778},[45],{"categories":780},[45],{"categories":782},[81],{"categories":784},[],{"categories":786},[81],{"categories":788},[45],{"categories":790},[45],{"categories":792},[81],{"categories":794},[45],{"categories":796},[45,76],{"categories":798},[45],{"categories":800},[76],{"categories":802},[],{"categories":804},[169],{"categories":806},[169],{"categories":808},[45],{"categories":810},[],{"categories":812},[],{"categories":814},[45],{"categories":816},[117],{"categories":818},[],{"categories":820},[71],{"categories":822},[45],{"categories":824},[95],{"categories":826},[45],{"categories":828},[829],"Generative UI & Design-to-Code",{"categories":831},[45],{"categories":833},[45],{"categories":835},[169],{"categories":837},[45],{"categories":839},[840],"Algorithmic Accountability",{"categories":842},[81],{"categories":844},[95],{"categories":846},[117],{"categories":848},[169],{"categories":850},[45],{"categories":852},[],{"categories":854},[84],{"categories":856},[45],{"categories":858},[45],{"categories":860},[45],{"categories":862},[45],{"categories":864},[81],{"categories":866},[867],"MLOps & Infrastructure",{"categories":869},[45],{"categories":871},[45],{"categories":873},[45],{"categories":875},[45],{"categories":877},[45],{"categories":879},[95],{"categories":881},[117],{"categories":883},[45],{"categories":885},[84],{"categories":887},[71],{"categories":889},[45],{"categories":891},[81],{"categories":893},[239],{"categories":895},[45],{"categories":897},[76],{"categories":899},[45],{"categories":901},[169],{"categories":903},[45],{"categories":905},[45],{"categories":907},[81],{"categories":909},[],{"categories":911},[],{"categories":913},[45],{"categories":915},[106],{"categories":917},[169],{"categories":919},[117],{"categories":921},[120],{"categories":923},[],{"categories":925},[45],{"categories":927},[45],{"categories":929},[76],{"categories":931},[81],{"categories":933},[45],{"categories":935},[45],{"categories":937},[45],{"categories":939},[45],{"categories":941},[117],{"categories":943},[106],{"categories":945},[45],{"categories":947},[169],{"categories":949},[45],{"categories":951},[],{"categories":953},[81],{"categories":955},[95],{"categories":957},[],{"categories":959},[45],{"categories":961},[45],{"categories":963},[81],{"categories":965},[95],{"categories":967},[45],{"categories":969},[120],{"categories":971},[169],{"categories":973},[],{"categories":975},[45],{"categories":977},[],{"categories":979},[45],{"categories":981},[],{"categories":983},[45],{"categories":985},[45],{"categories":987},[84],{"categories":989},[76],{"categories":991},[81],{"categories":993},[81],{"categories":995},[],{"categories":997},[45],{"categories":999},[71],{"categories":1001},[45],{"categories":1003},[45],{"categories":1005},[76],{"categories":1007},[117],{"categories":1009},[71],{"categories":1011},[],{"categories":1013},[45],{"categories":1015},[],{"categories":1017},[45],{"categories":1019},[],{"categories":1021},[117],{"categories":1023},[117],{"categories":1025},[],{"categories":1027},[412],{"categories":1029},[45],{"categories":1031},[169],{"categories":1033},[95],{"categories":1035},[],{"categories":1037},[356],{"categories":1039},[81],{"categories":1041},[76],{"categories":1043},[],{"categories":1045},[],{"categories":1047},[71],{"categories":1049},[120],{"categories":1051},[],{"categories":1053},[198],{"categories":1055},[81],{"categories":1057},[76],{"categories":1059},[81],{"categories":1061},[45],{"categories":1063},[76],{"categories":1065},[45],{"categories":1067},[95],{"categories":1069},[],{"categories":1071},[106],{"categories":1073},[84],{"categories":1075},[45],{"categories":1077},[169],{"categories":1079},[95],{"categories":1081},[76],{"categories":1083},[45],{"categories":1085},[95],{"categories":1087},[45],{"categories":1089},[81],{"categories":1091},[76],{"categories":1093},[45],{"categories":1095},[45],{"categories":1097},[45],{"categories":1099},[45],{"categories":1101},[45],{"categories":1103},[],{"categories":1105},[],{"categories":1107},[95],{"categories":1109},[120],{"categories":1111},[84],{"categories":1113},[45],{"categories":1115},[81],{"categories":1117},[95],{"categories":1119},[95],{"categories":1121},[45],{"categories":1123},[],{"categories":1125},[117],{"categories":1127},[84],{"categories":1129},[84],{"categories":1131},[95],{"categories":1133},[45],{"categories":1135},[542],{"categories":1137},[239],{"categories":1139},[],{"categories":1141},[81],{"categories":1143},[45],{"categories":1145},[],{"categories":1147},[71],{"categories":1149},[],{"categories":1151},[45],{"categories":1153},[45],{"categories":1155},[45],{"categories":1157},[169],{"categories":1159},[198],{"categories":1161},[45],{"categories":1163},[95],{"categories":1165},[45],{"categories":1167},[81],{"categories":1169},[],{"categories":1171},[95],{"categories":1173},[45],{"categories":1175},[71],{"categories":1177},[],{"categories":1179},[76],{"categories":1181},[45],{"categories":1183},[45],{"categories":1185},[117],{"categories":1187},[45,239],{"categories":1189},[45],{"categories":1191},[1192],"Design Systems for AI",{"categories":1194},[45],{"categories":1196},[45],{"categories":1198},[117],{"categories":1200},[45],{"categories":1202},[45],{"categories":1204},[45],{"categories":1206},[76],{"categories":1208},[45],{"categories":1210},[45],{"categories":1212},[45],{"categories":1214},[],{"categories":1216},[45],{"categories":1218},[45],{"categories":1220},[76],{"categories":1222},[45],{"categories":1224},[],{"categories":1226},[81],{"categories":1228},[81],{"categories":1230},[95],{"categories":1232},[117],{"categories":1234},[95],{"categories":1236},[45],{"categories":1238},[169],{"categories":1240},[117],{"categories":1242},[120],{"categories":1244},[45],{"categories":1246},[45],{"categories":1248},[81],{"categories":1250},[71],{"categories":1252},[517],{"categories":1254},[45],{"categories":1256},[81],{"categories":1258},[45],{"categories":1260},[95],{"categories":1262},[95],{"categories":1264},[],{"categories":1266},[],{"categories":1268},[45],{"categories":1270},[81],{"categories":1272},[84],{"categories":1274},[],{"categories":1276},[76],{"categories":1278},[45],{"categories":1280},[],{"categories":1282},[169],{"categories":1284},[95],{"categories":1286},[81],{"categories":1288},[95],{"categories":1290},[169],{"categories":1292},[45],{"categories":1294},[45],{"categories":1296},[169],{"categories":1298},[],{"categories":1300},[],{"categories":1302},[117],{"categories":1304},[81],{"categories":1306},[81],{"categories":1308},[45],{"categories":1310},[45],{"categories":1312},[45],{"categories":1314},[45],{"categories":1316},[76],{"categories":1318},[45],{"categories":1320},[45],{"categories":1322},[],{"categories":1324},[95],{"categories":1326},[95],{"categories":1328},[45],{"categories":1330},[95],{"categories":1332},[76],{"categories":1334},[],{"categories":1336},[45],{"categories":1338},[45],{"categories":1340},[45],{"categories":1342},[45],{"categories":1344},[45],{"categories":1346},[81],{"categories":1348},[71],{"categories":1350},[76],{"categories":1352},[45],{"categories":1354},[81],{"categories":1356},[117],{"categories":1358},[81],{"categories":1360},[106],{"categories":1362},[198],{"categories":1364},[45],{"categories":1366},[81],{"categories":1368},[45],{"categories":1370},[45],{"categories":1372},[45],{"categories":1374},[],{"categories":1376},[169],{"categories":1378},[],{"categories":1380},[45],{"categories":1382},[45],{"categories":1384},[],{"categories":1386},[45],{"categories":1388},[95],{"categories":1390},[76],{"categories":1392},[1393],"Visual & Generative Media",{"categories":1395},[81],{"categories":1397},[],{"categories":1399},[45],{"categories":1401},[45],{"categories":1403},[95],{"categories":1405},[239],{"categories":1407},[45],{"categories":1409},[120],{"categories":1411},[517],{"categories":1413},[95],{"categories":1415},[198],{"categories":1417},[45],{"categories":1419},[169],{"categories":1421},[45],{"categories":1423},[45],{"categories":1425},[95],{"categories":1427},[81],{"categories":1429},[45],{"categories":1431},[],{"categories":1433},[],{"categories":1435},[81],{"categories":1437},[95],{"categories":1439},[71],{"categories":1441},[81],{"categories":1443},[471],{"categories":1445},[45],{"categories":1447},[84],{"categories":1449},[45],{"categories":1451},[76],{"categories":1453},[],{"categories":1455},[45],{"categories":1457},[84],{"categories":1459},[45],{"categories":1461},[45],{"categories":1463},[45],{"categories":1465},[84],{"categories":1467},[45],{"categories":1469},[45],{"categories":1471},[198],{"categories":1473},[45],{"categories":1475},[412],{"categories":1477},[45],{"categories":1479},[81],{"categories":1481},[45],{"categories":1483},[45],{"categories":1485},[45],{"categories":1487},[45],{"categories":1489},[169],{"categories":1491},[81],{"categories":1493},[],{"categories":1495},[81],{"categories":1497},[],{"categories":1499},[239],{"categories":1501},[95],{"categories":1503},[],{"categories":1505},[471],{"categories":1507},[45],{"categories":1509},[81],{"categories":1511},[81],{"categories":1513},[45],{"categories":1515},[169,45],{"categories":1517},[71],{"categories":1519},[45],{"categories":1521},[169],{"categories":1523},[],{"categories":1525},[45],{"categories":1527},[71],{"categories":1529},[45],{"categories":1531},[1532],"Medical Imaging & Radiology",{"categories":1534},[45],{"categories":1536},[45],{"categories":1538},[45],{"categories":1540},[169],{"categories":1542},[81],{"categories":1544},[95],{"categories":1546},[],{"categories":1548},[45],{"categories":1550},[45],{"categories":1552},[45],{"categories":1554},[],{"categories":1556},[],{"categories":1558},[45],{"categories":1560},[45],{"categories":1562},[412],{"categories":1564},[45],{"categories":1566},[71],{"categories":1568},[45],{"categories":1570},[45],{"categories":1572},[],{"categories":1574},[81],{"categories":1576},[45],{"categories":1578},[84],{"categories":1580},[95],{"categories":1582},[45],{"categories":1584},[81],{"categories":1586},[412],{"categories":1588},[45],{"categories":1590},[81],{"categories":1592},[45],{"categories":1594},[45],{"categories":1596},[45],{"categories":1598},[169],{"categories":1600},[81],{"categories":1602},[239],{"categories":1604},[169],{"categories":1606},[76],{"categories":1608},[81],{"categories":1610},[117],{"categories":1612},[45],{"categories":1614},[45],{"categories":1616},[84],{"categories":1618},[45],{"categories":1620},[45],{"categories":1622},[45],{"categories":1624},[45],{"categories":1626},[81],{"categories":1628},[45],{"categories":1630},[95],{"categories":1632},[95],{"categories":1634},[45],{"categories":1636},[84],{"categories":1638},[],{"categories":1640},[117],{"categories":1642},[],{"categories":1644},[84],{"categories":1646},[81],{"categories":1648},[45],{"categories":1650},[81],{"categories":1652},[1192],{"categories":1654},[1192],{"categories":1656},[169],{"categories":1658},[45],{"categories":1660},[45],{"categories":1662},[45],{"categories":1664},[81],{"categories":1666},[95],{"categories":1668},[169],{"categories":1670},[81],{"categories":1672},[117],{"categories":1674},[],{"categories":1676},[45],{"categories":1678},[],{"categories":1680},[45],{"categories":1682},[45],{"categories":1684},[45],{"categories":1686},[45],{"categories":1688},[81],{"categories":1690},[1691],"Contract Review & E-Discovery",{"categories":1693},[45],{"categories":1695},[169],{"categories":1697},[45],{"categories":1699},[71],{"categories":1701},[45],{"categories":1703},[117],{"categories":1705},[45],{"categories":1707},[45],{"categories":1709},[198],{"categories":1711},[95],{"categories":1713},[45],{"categories":1715},[45],{"categories":1717},[81],{"categories":1719},[81],{"categories":1721},[840],{"categories":1723},[45],{"categories":1725},[45],{"categories":1727},[81],{"categories":1729},[81],{"categories":1731},[45],{"categories":1733},[45],{"categories":1735},[45],{"categories":1737},[81],{"categories":1739},[45],{"categories":1741},[45],{"categories":1743},[412],{"categories":1745},[389],{"categories":1747},[45],{"categories":1749},[81],{"categories":1751},[45],{"categories":1753},[1754],"Law-Firm Practice & Adoption",{"categories":1756},[45],{"categories":1758},[81],{"categories":1760},[169],{"categories":1762},[45],{"categories":1764},[45],{"categories":1766},[45],{"categories":1768},[],{"categories":1770},[],{"categories":1772},[95],{"categories":1774},[45],{"categories":1776},[],{"categories":1778},[81],{"categories":1780},[71],{"categories":1782},[239],{"categories":1784},[45],{"categories":1786},[],{"categories":1788},[71],{"categories":1790},[76],{"categories":1792},[45],{"categories":1794},[198],{"categories":1796},[],{"categories":1798},[76],{"categories":1800},[81],{"categories":1802},[76],{"categories":1804},[],{"categories":1806},[45],{"categories":1808},[84],{"categories":1810},[45],{"categories":1812},[95],{"categories":1814},[],{"categories":1816},[],{"categories":1818},[],{"categories":1820},[],{"categories":1822},[45],{"categories":1824},[84],{"categories":1826},[81],{"categories":1828},[239],{"categories":1830},[45],{"categories":1832},[71],{"categories":1834},[95],{"categories":1836},[45],{"categories":1838},[45],{"categories":1840},[95],{"categories":1842},[84],{"categories":1844},[45],{"categories":1846},[45],{"categories":1848},[45],{"categories":1850},[867],{"categories":1852},[45],{"categories":1854},[95],{"categories":1856},[45],{"categories":1858},[198],{"categories":1860},[95],{"categories":1862},[76],{"categories":1864},[45],{"categories":1866},[45],{"categories":1868},[45],{"categories":1870},[169],{"categories":1872},[45],{"categories":1874},[45],{"categories":1876},[45],{"categories":1878},[45],{"categories":1880},[76],{"categories":1882},[81],{"categories":1884},[45,71],{"categories":1886},[412],{"categories":1888},[45],{"categories":1890},[45],{"categories":1892},[95],{"categories":1894},[95],{"categories":1896},[169],{"categories":1898},[81],{"categories":1900},[81],{"categories":1902},[95],{"categories":1904},[45],{"categories":1906},[45],{"categories":1908},[45],{"categories":1910},[],{"categories":1912},[],{"categories":1914},[45],{"categories":1916},[120],{"categories":1918},[45],{"categories":1920},[81],{"categories":1922},[],{"categories":1924},[45],{"categories":1926},[45],{"categories":1928},[95],{"categories":1930},[120],{"categories":1932},[117],{"categories":1934},[169],{"categories":1936},[45],{"categories":1938},[81],{"categories":1940},[45],{"categories":1942},[95],{"categories":1944},[],{"categories":1946},[81],{"categories":1948},[45],{"categories":1950},[45],{"categories":1952},[45],{"categories":1954},[45],{"categories":1956},[],{"categories":1958},[81],{"categories":1960},[45],{"categories":1962},[45],{"categories":1964},[45],{"categories":1966},[],{"categories":1968},[81],{"categories":1970},[45],{"categories":1972},[45],{"categories":1974},[76],{"categories":1976},[45],{"categories":1978},[45],{"categories":1980},[],{"categories":1982},[71],{"categories":1984},[45],{"categories":1986},[45],{"categories":1988},[45],{"categories":1990},[169],{"categories":1992},[45],{"categories":1994},[95],{"categories":1996},[45],{"categories":1998},[71],{"categories":2000},[45],{"categories":2002},[95],{"categories":2004},[198],{"categories":2006},[81],{"categories":2008},[81],{"categories":2010},[45],{"categories":2012},[45],{"categories":2014},[45,169],{"categories":2016},[45],{"categories":2018},[81],{"categories":2020},[117],{"categories":2022},[45],{"categories":2024},[117],{"categories":2026},[81],{"categories":2028},[169],{"categories":2030},[45],{"categories":2032},[],{"categories":2034},[95],{"categories":2036},[239],{"categories":2038},[169],{"categories":2040},[95],{"categories":2042},[45],{"categories":2044},[84],{"categories":2046},[45],{"categories":2048},[45],{"categories":2050},[81],{"categories":2052},[],{"categories":2054},[],{"categories":2056},[45],{"categories":2058},[],{"categories":2060},[],{"categories":2062},[84],{"categories":2064},[95],{"categories":2066},[45],{"categories":2068},[81],{"categories":2070},[81],{"categories":2072},[76],{"categories":2074},[81],{"categories":2076},[239],{"categories":2078},[45],{"categories":2080},[45],{"categories":2082},[45],{"categories":2084},[106],{"categories":2086},[45],{"categories":2088},[45],{"categories":2090},[45],{"categories":2092},[95],{"categories":2094},[81],{"categories":2096},[45],{"categories":2098},[45],{"categories":2100},[95],{"categories":2102},[356],{"categories":2104},[81],{"categories":2106},[840],{"categories":2108},[],{"categories":2110},[169],{"categories":2112},[1754],{"categories":2114},[95],{"categories":2116},[],{"categories":2118},[],{"categories":2120},[45],{"categories":2122},[81],{"categories":2124},[],{"categories":2126},[],{"categories":2128},[45],{"categories":2130},[198],{"categories":2132},[45],{"categories":2134},[198],{"categories":2136},[81],{"categories":2138},[45],{"categories":2140},[45],{"categories":2142},[95],{"categories":2144},[84],{"categories":2146},[],{"categories":2148},[45],{"categories":2150},[45],{"categories":2152},[95],{"categories":2154},[1691],{"categories":2156},[169],{"categories":2158},[169],{"categories":2160},[45],{"categories":2162},[81],{"categories":2164},[71],{"categories":2166},[45],{"categories":2168},[45],{"categories":2170},[45],{"categories":2172},[45],{"categories":2174},[169],{"categories":2176},[169],{"categories":2178},[81],{"categories":2180},[81],{"categories":2182},[81],{"categories":2184},[45],{"categories":2186},[45],{"categories":2188},[],{"categories":2190},[45],{"categories":2192},[],{"categories":2194},[2195],"Interaction & Product Design",{"categories":2197},[45],{"categories":2199},[81],{"categories":2201},[95],{"categories":2203},[268],{"categories":2205},[117],{"categories":2207},[95],{"categories":2209},[45],{"categories":2211},[45],{"categories":2213},[45],{"categories":2215},[95],{"categories":2217},[45],{"categories":2219},[71],{"categories":2221},[81],{"categories":2223},[45],{"categories":2225},[],{"categories":2227},[81],{"categories":2229},[81],{"categories":2231},[81],{"categories":2233},[],{"categories":2235},[95],{"categories":2237},[45],{"categories":2239},[81],{"categories":2241},[71],{"categories":2243},[2195],{"categories":2245},[45],{"categories":2247},[71],{"categories":2249},[71],{"categories":2251},[],{"categories":2253},[81],{"categories":2255},[95],{"categories":2257},[],{"categories":2259},[81],{"categories":2261},[117],{"categories":2263},[45],{"categories":2265},[81],{"categories":2267},[45],{"categories":2269},[81],{"categories":2271},[81],{"categories":2273},[45],{"categories":2275},[45],{"categories":2277},[117],{"categories":2279},[120],{"categories":2281},[45],{"categories":2283},[84],{"categories":2285},[95],{"categories":2287},[2288],"Coding Agents & Dev Productivity",{"categories":2290},[117],{"categories":2292},[169],{"categories":2294},[45],{"categories":2296},[45],{"categories":2298},[],{"categories":2300},[45],{"categories":2302},[840],{"categories":2304},[],{"categories":2306},[45],{"categories":2308},[45],{"categories":2310},[239],{"categories":2312},[45],{"categories":2314},[117],{"categories":2316},[],{"categories":2318},[],{"categories":2320},[45],{"categories":2322},[],{"categories":2324},[81],{"categories":2326},[45],{"categories":2328},[],{"categories":2330},[95],{"categories":2332},[95],{"categories":2334},[45],{"categories":2336},[120],{"categories":2338},[],{"categories":2340},[45],{"categories":2342},[45],{"categories":2344},[45],{"categories":2346},[120],{"categories":2348},[95],{"categories":2350},[81],{"categories":2352},[],{"categories":2354},[],{"categories":2356},[45],{"categories":2358},[45],{"categories":2360},[81],{"categories":2362},[81],{"categories":2364},[333],{"categories":2366},[95],{"categories":2368},[95],{"categories":2370},[81],{"categories":2372},[117],{"categories":2374},[117],{"categories":2376},[81],{"categories":2378},[81],{"categories":2380},[45],{"categories":2382},[71],{"categories":2384},[2195],{"categories":2386},[84],{"categories":2388},[45,239],{"categories":2390},[120],{"categories":2392},[],{"categories":2394},[169],{"categories":2396},[81],{"categories":2398},[95],{"categories":2400},[71],{"categories":2402},[45],{"categories":2404},[81],{"categories":2406},[2407],"The Designer's Role & Craft",{"categories":2409},[169],{"categories":2411},[],{"categories":2413},[81],{"categories":2415},[45],{"categories":2417},[81],{"categories":2419},[81],{"categories":2421},[45],{"categories":2423},[198],{"categories":2425},[45],{"categories":2427},[95],{"categories":2429},[45],{"categories":2431},[169],{"categories":2433},[45],{"categories":2435},[],{"categories":2437},[81],{"categories":2439},[169],{"categories":2441},[84],{"categories":2443},[45],{"categories":2445},[45],{"categories":2447},[45],{"categories":2449},[2450],"AI UX Patterns",{"categories":2452},[81],{"categories":2454},[81],{"categories":2456},[81],{"categories":2458},[81],{"categories":2460},[198],{"categories":2462},[120],{"categories":2464},[45],{"categories":2466},[81],{"categories":2468},[45],{"categories":2470},[1192],{"categories":2472},[],{"categories":2474},[198],{"categories":2476},[81],{"categories":2478},[117],{"categories":2480},[95],{"categories":2482},[45],{"categories":2484},[81],{"categories":2486},[],{"categories":2488},[],{"categories":2490},[45],{"categories":2492},[45],{"categories":2494},[81],{"categories":2496},[45],{"categories":2498},[81],{"categories":2500},[333],{"categories":2502},[169],{"categories":2504},[45],{"categories":2506},[117],{"categories":2508},[95],{"categories":2510},[45],{"categories":2512},[81],{"categories":2514},[81],{"categories":2516},[],{"categories":2518},[45],{"categories":2520},[],{"categories":2522},[45],{"categories":2524},[],{"categories":2526},[45],{"categories":2528},[45],{"categories":2530},[45],{"categories":2532},[81],{"categories":2534},[95],{"categories":2536},[],{"categories":2538},[],{"categories":2540},[120],{"categories":2542},[106],{"categories":2544},[45],{"categories":2546},[45],{"categories":2548},[45],{"categories":2550},[120],{"categories":2552},[45],{"categories":2554},[45],{"categories":2556},[117],{"categories":2558},[45],{"categories":2560},[45],{"categories":2562},[45],{"categories":2564},[81],{"categories":2566},[45],{"categories":2568},[81],{"categories":2570},[45],{"categories":2572},[45],{"categories":2574},[45],{"categories":2576},[81],{"categories":2578},[],{"categories":2580},[45],{"categories":2582},[],{"categories":2584},[45],{"categories":2586},[45],{"categories":2588},[239],{"categories":2590},[45],{"categories":2592},[],{"categories":2594},[],{"categories":2596},[169],{"categories":2598},[867],{"categories":2600},[81],{"categories":2602},[71],{"categories":2604},[2407],{"categories":2606},[],{"categories":2608},[],{"categories":2610},[45],{"categories":2612},[],{"categories":2614},[],{"categories":2616},[95],{"categories":2618},[117],{"categories":2620},[198],{"categories":2622},[81],{"categories":2624},[76],{"categories":2626},[45],{"categories":2628},[45],{"categories":2630},[76],{"categories":2632},[],{"categories":2634},[169],{"categories":2636},[84],{"categories":2638},[45],{"categories":2640},[45],{"categories":2642},[81],{"categories":2644},[76],{"categories":2646},[45],{"categories":2648},[45],{"categories":2650},[71],{"categories":2652},[45],{"categories":2654},[45],{"categories":2656},[],{"categories":2658},[71],{"categories":2660},[45],{"categories":2662},[198],{"categories":2664},[81],{"categories":2666},[117],{"categories":2668},[45],{"categories":2670},[95],{"categories":2672},[45],{"categories":2674},[45],{"categories":2676},[76],{"categories":2678},[45],{"categories":2680},[45],{"categories":2682},[45],{"categories":2684},[81],{"categories":2686},[45],{"categories":2688},[],{"categories":2690},[45],{"categories":2692},[95],{"categories":2694},[71],{"categories":2696},[45],{"categories":2698},[45],{"categories":2700},[45],{"categories":2702},[],{"categories":2704},[45],{"categories":2706},[412],{"categories":2708},[81],{"categories":2710},[76],{"categories":2712},[117],{"categories":2714},[45],{"categories":2716},[45],{"categories":2718},[],{"categories":2720},[76],{"categories":2722},[76],{"categories":2724},[45],{"categories":2726},[45],{"categories":2728},[84],{"categories":2730},[45],{"categories":2732},[45],{"categories":2734},[45],{"categories":2736},[45],{"categories":2738},[95],{"categories":2740},[95],{"categories":2742},[45],{"categories":2744},[],{"categories":2746},[95],{"categories":2748},[45],{"categories":2750},[95],{"categories":2752},[81],{"categories":2754},[517],{"categories":2756},[],{"categories":2758},[],{"categories":2760},[45],{"categories":2762},[117],{"categories":2764},[],{"categories":2766},[239],{"categories":2768},[45],{"categories":2770},[45],{"categories":2772},[45],{"categories":2774},[169],{"categories":2776},[829],{"categories":2778},[],{"categories":2780},[45],{"categories":2782},[45],{"categories":2784},[45],{"categories":2786},[95],{"categories":2788},[45],{"categories":2790},[45],{"categories":2792},[45,239],{"categories":2794},[45],{"categories":2796},[45],{"categories":2798},[169],{"categories":2800},[81],{"categories":2802},[],{"categories":2804},[81],{"categories":2806},[81],{"categories":2808},[45],{"categories":2810},[45],{"categories":2812},[45],{"categories":2814},[45],{"categories":2816},[120],{"categories":2818},[45],{"categories":2820},[2450],{"categories":2822},[71],{"categories":2824},[120],{"categories":2826},[71],{"categories":2828},[95],{"categories":2830},[169],{"categories":2832},[81],{"categories":2834},[45],{"categories":2836},[],{"categories":2838},[76],{"categories":2840},[45],{"categories":2842},[45],{"categories":2844},[117],{"categories":2846},[45],{"categories":2848},[45],{"categories":2850},[45],{"categories":2852},[81],{"categories":2854},[45],{"categories":2856},[45],{"categories":2858},[45],{"categories":2860},[76],{"categories":2862},[],{"categories":2864},[239],{"categories":2866},[45],{"categories":2868},[333],{"categories":2870},[169],{"categories":2872},[169],{"categories":2874},[95],{"categories":2876},[81],{"categories":2878},[45],{"categories":2880},[76],{"categories":2882},[117],{"categories":2884},[45],{"categories":2886},[45],{"categories":2888},[45],{"categories":2890},[169],{"categories":2892},[81],{"categories":2894},[81],{"categories":2896},[45],{"categories":2898},[45],{"categories":2900},[471],{"categories":2902},[81],{"categories":2904},[],{"categories":2906},[45],{"categories":2908},[45],{"categories":2910},[45],{"categories":2912},[],{"categories":2914},[],{"categories":2916},[45],{"categories":2918},[45],{"categories":2920},[81],{"categories":2922},[45],{"categories":2924},[45],{"categories":2926},[45],{"categories":2928},[95],{"categories":2930},[45],{"categories":2932},[45],{"categories":2934},[81],{"categories":2936},[45],{"categories":2938},[45],{"categories":2940},[45],{"categories":2942},[45],{"categories":2944},[45],{"categories":2946},[],{"categories":2948},[95],{"categories":2950},[120],{"categories":2952},[45],{"categories":2954},[81],{"categories":2956},[81],{"categories":2958},[45],{"categories":2960},[45],{"categories":2962},[],{"categories":2964},[],{"categories":2966},[45],{"categories":2968},[45],{"categories":2970},[45],{"categories":2972},[117],{"categories":2974},[120],{"categories":2976},[],{"categories":2978},[45],{"categories":2980},[169],{"categories":2982},[45],{"categories":2984},[239],{"categories":2986},[1754],{"categories":2988},[117],{"categories":2990},[95],{"categories":2992},[45],{"categories":2994},[95],{"categories":2996},[95],{"categories":2998},[45],{"categories":3000},[45],{"categories":3002},[95],{"categories":3004},[117],{"categories":3006},[117],{"categories":3008},[239],{"categories":3010},[81],{"categories":3012},[],{"categories":3014},[117],{"categories":3016},[45],{"categories":3018},[81],{"categories":3020},[71],{"categories":3022},[95],{"categories":3024},[45],{"categories":3026},[117],{"categories":3028},[],{"categories":3030},[45],{"categories":3032},[95],{"categories":3034},[95],{"categories":3036},[120],{"categories":3038},[45],{"categories":3040},[117],{"categories":3042},[45],{"categories":3044},[95],{"categories":3046},[81],{"categories":3048},[81],{"categories":3050},[117],{"categories":3052},[81],{"categories":3054},[239],{"categories":3056},[81],{"categories":3058},[45],{"categories":3060},[45],{"categories":3062},[45],{"categories":3064},[45],{"categories":3066},[95],{"categories":3068},[45],{"categories":3070},[],{"categories":3072},[81],{"categories":3074},[76],{"categories":3076},[95],{"categories":3078},[],{"categories":3080},[],{"categories":3082},[45],{"categories":3084},[81],{"categories":3086},[45],{"categories":3088},[45],{"categories":3090},[3091],"Frameworks & Tooling",{"categories":3093},[45],{"categories":3095},[45],{"categories":3097},[95],{"categories":3099},[45],{"categories":3101},[45],{"categories":3103},[],{"categories":3105},[120],{"categories":3107},[120],{"categories":3109},[71],{"categories":3111},[45],{"categories":3113},[81],{"categories":3115},[45],{"categories":3117},[169],{"categories":3119},[],{"categories":3121},[1754],{"categories":3123},[45],{"categories":3125},[95],{"categories":3127},[45],{"categories":3129},[239],{"categories":3131},[239],{"categories":3133},[],{"categories":3135},[81],{"categories":3137},[81],{"categories":3139},[45],{"categories":3141},[45],{"categories":3143},[117],{"categories":3145},[81],{"categories":3147},[117],{"categories":3149},[45],{"categories":3151},[81],{"categories":3153},[],{"categories":3155},[169],{"categories":3157},[45],{"categories":3159},[45],{"categories":3161},[],{"categories":3163},[45],{"categories":3165},[81],{"categories":3167},[45],{"categories":3169},[45],{"categories":3171},[45],{"categories":3173},[],{"categories":3175},[95],{"categories":3177},[45],{"categories":3179},[95],{"categories":3181},[239],{"categories":3183},[45],{"categories":3185},[45],{"categories":3187},[45],{"categories":3189},[95],{"categories":3191},[76],{"categories":3193},[45],{"categories":3195},[1754],{"categories":3197},[],{"categories":3199},[81],{"categories":3201},[71],{"categories":3203},[45],{"categories":3205},[71],{"categories":3207},[45],{"categories":3209},[],{"categories":3211},[81],{"categories":3213},[45],{"categories":3215},[45],{"categories":3217},[3218],"AI Design Tooling",{"categories":3220},[169],{"categories":3222},[45],{"categories":3224},[45],{"categories":3226},[95],{"categories":3228},[169],{"categories":3230},[45],{"categories":3232},[45],{"categories":3234},[95],{"categories":3236},[117],{"categories":3238},[84],{"categories":3240},[95],{"categories":3242},[45],{"categories":3244},[45],{"categories":3246},[45],{"categories":3248},[81],{"categories":3250},[45],{"categories":3252},[],{"categories":3254},[81],{"categories":3256},[45],{"categories":3258},[45],{"categories":3260},[81],{"categories":3262},[45],{"categories":3264},[45],{"categories":3266},[45],{"categories":3268},[81],{"categories":3270},[],{"categories":3272},[81],{"categories":3274},[3091],{"categories":3276},[45],{"categories":3278},[45],{"categories":3280},[81],{"categories":3282},[81],{"categories":3284},[95],{"categories":3286},[95],{"categories":3288},[45],{"categories":3290},[],{"categories":3292},[95],{"categories":3294},[45],{"categories":3296},[45],{"categories":3298},[81],{"categories":3300},[76],{"categories":3302},[45],{"categories":3304},[],{"categories":3306},[45],{"categories":3308},[45],{"categories":3310},[2195],{"categories":3312},[],{"categories":3314},[45],{"categories":3316},[45],{"categories":3318},[45],{"categories":3320},[45],{"categories":3322},[169],{"categories":3324},[45],{"categories":3326},[],{"categories":3328},[45],{"categories":3330},[45],{"categories":3332},[45],{"categories":3334},[45],{"categories":3336},[198],{"categories":3338},[117],{"categories":3340},[45],{"categories":3342},[45],{"categories":3344},[1754],{"categories":3346},[71],{"categories":3348},[45],{"categories":3350},[45],{"categories":3352},[120],{"categories":3354},[45],{"categories":3356},[45],{"categories":3358},[117],{"categories":3360},[81],{"categories":3362},[],{"categories":3364},[45],{"categories":3366},[45],{"categories":3368},[169],{"categories":3370},[45],{"categories":3372},[198],{"categories":3374},[81],{"categories":3376},[45],{"categories":3378},[81],{"categories":3380},[],{"categories":3382},[],{"categories":3384},[],{"categories":3386},[71],{"categories":3388},[117],{"categories":3390},[81],{"categories":3392},[45],{"categories":3394},[45],{"categories":3396},[45],{"categories":3398},[45],{"categories":3400},[356],{"categories":3402},[169],{"categories":3404},[81],{"categories":3406},[45],{"categories":3408},[],{"categories":3410},[81],{"categories":3412},[81],{"categories":3414},[],{"categories":3416},[45],{"categories":3418},[81],{"categories":3420},[45],{"categories":3422},[],{"categories":3424},[45],{"categories":3426},[45],{"categories":3428},[45],{"categories":3430},[117],{"categories":3432},[169],{"categories":3434},[81],{"categories":3436},[169],{"categories":3438},[81],{"categories":3440},[45],{"categories":3442},[76],{"categories":3444},[],{"categories":3446},[],{"categories":3448},[45],{"categories":3450},[45],{"categories":3452},[45],{"categories":3454},[71],{"categories":3456},[81],{"categories":3458},[117],{"categories":3460},[],{"categories":3462},[169],{"categories":3464},[],{"categories":3466},[95],{"categories":3468},[45],{"categories":3470},[95],{"categories":3472},[169],{"categories":3474},[95],{"categories":3476},[45],{"categories":3478},[],{"categories":3480},[45],{"categories":3482},[45],{"categories":3484},[],{"categories":3486},[45],{"categories":3488},[45],{"categories":3490},[198],{"categories":3492},[45],{"categories":3494},[45],{"categories":3496},[239],{"categories":3498},[95],{"categories":3500},[45],{"categories":3502},[],{"categories":3504},[81],{"categories":3506},[45],{"categories":3508},[71],{"categories":3510},[471],{"categories":3512},[45],{"categories":3514},[45],{"categories":3516},[81],{"categories":3518},[45],{"categories":3520},[81],{"categories":3522},[45],{"categories":3524},[45],{"categories":3526},[45],{"categories":3528},[45],{"categories":3530},[],{"categories":3532},[45],{"categories":3534},[71],{"categories":3536},[45],{"categories":3538},[76],{"categories":3540},[95],{"categories":3542},[169],{"categories":3544},[],{"categories":3546},[45],{"categories":3548},[],{"categories":3550},[81],{"categories":3552},[45],{"categories":3554},[],{"categories":3556},[81],{"categories":3558},[45],{"categories":3560},[95],{"categories":3562},[169],{"categories":3564},[117],{"categories":3566},[45],{"categories":3568},[117],{"categories":3570},[81],{"categories":3572},[169],{"categories":3574},[45],{"categories":3576},[],{"categories":3578},[45],{"categories":3580},[106],{"categories":3582},[81],{"categories":3584},[45],{"categories":3586},[169],{"categories":3588},[117],{"categories":3590},[76],{"categories":3592},[95],{"categories":3594},[45],{"categories":3596},[45],{"categories":3598},[45],{"categories":3600},[45],{"categories":3602},[117],{"categories":3604},[198],{"categories":3606},[],{"categories":3608},[],{"categories":3610},[120],{"categories":3612},[412],{"categories":3614},[45],{"categories":3616},[81],{"categories":3618},[45,95],{"categories":3620},[117],{"categories":3622},[45],{"categories":3624},[45],{"categories":3626},[45],{"categories":3628},[45],{"categories":3630},[45],{"categories":3632},[45],{"categories":3634},[45],{"categories":3636},[81],{"categories":3638},[45],{"categories":3640},[81],{"categories":3642},[45],{"categories":3644},[45],{"categories":3646},[45],{"categories":3648},[],{"categories":3650},[45],{"categories":3652},[1192],{"categories":3654},[95],{"categories":3656},[169],{"categories":3658},[45],{"categories":3660},[45],{"categories":3662},[45],{"categories":3664},[120],{"categories":3666},[81],{"categories":3668},[198],{"categories":3670},[239],{"categories":3672},[],{"categories":3674},[95],{"categories":3676},[45],{"categories":3678},[76],{"categories":3680},[81],{"categories":3682},[71],{"categories":3684},[81],{"categories":3686},[45],{"categories":3688},[81],{"categories":3690},[81],{"categories":3692},[84],{"categories":3694},[95],{"categories":3696},[45],{"categories":3698},[45],{"categories":3700},[],{"categories":3702},[],{"categories":3704},[],{"categories":3706},[239],{"categories":3708},[45],{"categories":3710},[117],{"categories":3712},[45],{"categories":3714},[45],{"categories":3716},[45],{"categories":3718},[45],{"categories":3720},[],{"categories":3722},[45],{"categories":3724},[120],{"categories":3726},[76],{"categories":3728},[81],{"categories":3730},[45],{"categories":3732},[],{"categories":3734},[45],{"categories":3736},[81],{"categories":3738},[45],{"categories":3740},[239],{"categories":3742},[],{"categories":3744},[169],{"categories":3746},[169],{"categories":3748},[45],{"categories":3750},[81],{"categories":3752},[],{"categories":3754},[95],{"categories":3756},[45],{"categories":3758},[169],{"categories":3760},[45],{"categories":3762},[76],{"categories":3764},[81],{"categories":3766},[45],{"categories":3768},[],{"categories":3770},[117],{"categories":3772},[45],{"categories":3774},[45],{"categories":3776},[45],{"categories":3778},[169],{"categories":3780},[81],{"categories":3782},[117],{"categories":3784},[],{"categories":3786},[81],{"categories":3788},[76],{"categories":3790},[81],{"categories":3792},[169],{"categories":3794},[45],{"categories":3796},[45],{"categories":3798},[45],{"categories":3800},[412],{"categories":3802},[45],{"categories":3804},[81],{"categories":3806},[],{"categories":3808},[45],{"categories":3810},[45],{"categories":3812},[239],{"categories":3814},[117],{"categories":3816},[120],{"categories":3818},[517],{"categories":3820},[120],{"categories":3822},[120],{"categories":3824},[45],{"categories":3826},[],{"categories":3828},[],{"categories":3830},[],{"categories":3832},[81],{"categories":3834},[45],{"categories":3836},[81],{"categories":3838},[81],{"categories":3840},[95],{"categories":3842},[45],{"categories":3844},[389],{"categories":3846},[95],{"categories":3848},[81],{"categories":3850},[45],{"categories":3852},[45],{"categories":3854},[45],{"categories":3856},[45],{"categories":3858},[45],{"categories":3860},[81],{"categories":3862},[45],{"categories":3864},[],{"categories":3866},[],{"categories":3868},[45],{"categories":3870},[],{"categories":3872},[45],{"categories":3874},[81],{"categories":3876},[169],{"categories":3878},[45],{"categories":3880},[45],{"categories":3882},[],{"categories":3884},[81],{"categories":3886},[45],{"categories":3888},[45],{"categories":3890},[84],{"categories":3892},[45],{"categories":3894},[169],{"categories":3896},[45],{"categories":3898},[81],{"categories":3900},[76],{"categories":3902},[45],{"categories":3904},[45],{"categories":3906},[198],{"categories":3908},[81],{"categories":3910},[45],{"categories":3912},[45],{"categories":3914},[829],{"categories":3916},[45],{"categories":3918},[81],{"categories":3920},[45],{"categories":3922},[95],{"categories":3924},[45],{"categories":3926},[471],{"categories":3928},[169],{"categories":3930},[],{"categories":3932},[45],{"categories":3934},[45],{"categories":3936},[117],{"categories":3938},[412],{"categories":3940},[81],{"categories":3942},[45],{"categories":3944},[],{"categories":3946},[117],{"categories":3948},[333],{"categories":3950},[81],{"categories":3952},[81],{"categories":3954},[81],{"categories":3956},[45],{"categories":3958},[45],{"categories":3960},[81],{"categories":3962},[],{"categories":3964},[76],{"categories":3966},[45],{"categories":3968},[76],{"categories":3970},[81],{"categories":3972},[],{"categories":3974},[95],{"categories":3976},[45],{"categories":3978},[45],{"categories":3980},[71],{"categories":3982},[45],{"categories":3984},[117],{"categories":3986},[239],{"categories":3988},[106],{"categories":3990},[81],{"categories":3992},[81],{"categories":3994},[45],{"categories":3996},[45],{"categories":3998},[81],{"categories":4000},[45],{"categories":4002},[71],{"categories":4004},[],{"categories":4006},[81],{"categories":4008},[45],{"categories":4010},[45],{"categories":4012},[45],{"categories":4014},[81],{"categories":4016},[45],{"categories":4018},[],{"categories":4020},[45],{"categories":4022},[],{"categories":4024},[169],{"categories":4026},[81],{"categories":4028},[45,76],{"categories":4030},[81],{"categories":4032},[45],{"categories":4034},[],{"categories":4036},[71],{"categories":4038},[120],{"categories":4040},[76],{"categories":4042},[45],{"categories":4044},[95],{"categories":4046},[45],{"categories":4048},[45],{"categories":4050},[81],{"categories":4052},[45],{"categories":4054},[45],{"categories":4056},[45],{"categories":4058},[117],{"categories":4060},[1192],{"categories":4062},[81],{"categories":4064},[45],{"categories":4066},[],{"categories":4068},[],{"categories":4070},[45],{"categories":4072},[81],{"categories":4074},[45],{"categories":4076},[45],{"categories":4078},[239],{"categories":4080},[],{"categories":4082},[45],{"categories":4084},[81],{"categories":4086},[106],{"categories":4088},[81],{"categories":4090},[412],{"categories":4092},[],{"categories":4094},[356],{"categories":4096},[81],{"categories":4098},[45],{"categories":4100},[45],{"categories":4102},[198],{"categories":4104},[81],{"categories":4106},[45],{"categories":4108},[120],{"categories":4110},[84],{"categories":4112},[81],{"categories":4114},[45],{"categories":4116},[412],{"categories":4118},[45],{"categories":4120},[239],{"categories":4122},[76],{"categories":4124},[],{"categories":4126},[45],{"categories":4128},[45],{"categories":4130},[198],{"categories":4132},[169],{"categories":4134},[45],{"categories":4136},[45],{"categories":4138},[45],{"categories":4140},[],{"categories":4142},[198],{"categories":4144},[117],{"categories":4146},[45],{"categories":4148},[45],{"categories":4150},[45],{"categories":4152},[517],{"categories":4154},[71],{"categories":4156},[45],{"categories":4158},[84],{"categories":4160},[45],{"categories":4162},[],{"categories":4164},[],{"categories":4166},[169],{"categories":4168},[45],{"categories":4170},[120],{"categories":4172},[198],{"categories":4174},[81],{"categories":4176},[45],{"categories":4178},[45],{"categories":4180},[198],{"categories":4182},[117],{"categories":4184},[45],{"categories":4186},[],{"categories":4188},[45],{"categories":4190},[45],{"categories":4192},[],{"categories":4194},[45],{"categories":4196},[45],{"categories":4198},[542],{"categories":4200},[45],{"categories":4202},[45],{"categories":4204},[81],{"categories":4206},[95],{"categories":4208},[412],{"categories":4210},[45],{"categories":4212},[45],{"categories":4214},[45],{"categories":4216},[],{"categories":4218},[45,95],{"categories":4220},[117],{"categories":4222},[81],{"categories":4224},[95],{"categories":4226},[81],{"categories":4228},[867],{"categories":4230},[95],{"categories":4232},[95],{"categories":4234},[81],{"categories":4236},[45],{"categories":4238},[71],{"categories":4240},[],{"categories":4242},[],{"categories":4244},[81],{"categories":4246},[45],{"categories":4248},[95],{"categories":4250},[45],{"categories":4252},[71],{"categories":4254},[95],{"categories":4256},[95],{"categories":4258},[45],{"categories":4260},[198],{"categories":4262},[45],{"categories":4264},[95],{"categories":4266},[45],{"categories":4268},[],{"categories":4270},[45],{"categories":4272},[45],{"categories":4274},[169,45],{"categories":4276},[239],{"categories":4278},[71],{"categories":4280},[45],{"categories":4282},[],{"categories":4284},[45],{"categories":4286},[45],{"categories":4288},[76],{"categories":4290},[45],{"categories":4292},[76],{"categories":4294},[45],{"categories":4296},[45],{"categories":4298},[333],{"categories":4300},[45],{"categories":4302},[76],{"categories":4304},[95],{"categories":4306},[120],{"categories":4308},[81],{"categories":4310},[45],{"categories":4312},[95],{"categories":4314},[45],{"categories":4316},[45],{"categories":4318},[117],{"categories":4320},[198],{"categories":4322},[169],{"categories":4324},[45],{"categories":4326},[45],{"categories":4328},[45],{"categories":4330},[45],{"categories":4332},[71],{"categories":4334},[45],{"categories":4336},[81],{"categories":4338},[81],{"categories":4340},[95],{"categories":4342},[117],{"categories":4344},[95],{"categories":4346},[95],{"categories":4348},[45],{"categories":4350},[45],{"categories":4352},[],{"categories":4354},[],{"categories":4356},[120],{"categories":4358},[45],{"categories":4360},[95],{"categories":4362},[45],{"categories":4364},[169],{"categories":4366},[412],{"categories":4368},[356],{"categories":4370},[333],{"categories":4372},[45],{"categories":4374},[45],{"categories":4376},[45],{"categories":4378},[120],{"categories":4380},[45],{"categories":4382},[45],{"categories":4384},[45],{"categories":4386},[45],{"categories":4388},[45],{"categories":4390},[45],{"categories":4392},[45],{"categories":4394},[81],{"categories":4396},[71],{"categories":4398},[81],{"categories":4400},[45,76],{"categories":4402},[],{"categories":4404},[169],{"categories":4406},[],{"categories":4408},[84],{"categories":4410},[45],{"categories":4412},[117],{"categories":4414},[71],{"categories":4416},[45],{"categories":4418},[71],{"categories":4420},[81],{"categories":4422},[120],{"categories":4424},[81],{"categories":4426},[84],{"categories":4428},[81],{"categories":4430},[45],{"categories":4432},[45],{"categories":4434},[76],{"categories":4436},[81],{"categories":4438},[95],{"categories":4440},[198],{"categories":4442},[45],{"categories":4444},[45],{"categories":4446},[],{"categories":4448},[117],{"categories":4450},[45],{"categories":4452},[45],{"categories":4454},[45],{"categories":4456},[45],{"categories":4458},[45],{"categories":4460},[45],{"categories":4462},[95],{"categories":4464},[117],{"categories":4466},[95],{"categories":4468},[95],{"categories":4470},[45],{"categories":4472},[45],{"categories":4474},[45],{"categories":4476},[45],{"categories":4478},[356],{"categories":4480},[45],{"categories":4482},[81],{"categories":4484},[117],{"categories":4486},[45],{"categories":4488},[45],{"categories":4490},[45],{"categories":4492},[81],{"categories":4494},[45],{"categories":4496},[45],{"categories":4498},[45],{"categories":4500},[3091],{"categories":4502},[4503],"Clinical AI",{"categories":4505},[169],{"categories":4507},[45],{"categories":4509},[45],{"categories":4511},[45],{"categories":4513},[45],{"categories":4515},[239],{"categories":4517},[2450],{"categories":4519},[45],{"categories":4521},[84],{"categories":4523},[169],{"categories":4525},[45],{"categories":4527},[81],{"categories":4529},[45],{"categories":4531},[45],{"categories":4533},[117],{"categories":4535},[45],{"categories":4537},[81],{"categories":4539},[95],{"categories":4541},[198],{"categories":4543},[45],{"categories":4545},[45],{"categories":4547},[76],{"categories":4549},[45],{"categories":4551},[45],{"categories":4553},[471],{"categories":4555},[45],{"categories":4557},[],{"categories":4559},[81],{"categories":4561},[45],{"categories":4563},[95],{"categories":4565},[71],{"categories":4567},[45],{"categories":4569},[],{"categories":4571},[],{"categories":4573},[45],{"categories":4575},[],{"categories":4577},[76],{"categories":4579},[45],{"categories":4581},[45],{"categories":4583},[81],{"categories":4585},[45],{"categories":4587},[117],{"categories":4589},[117],{"categories":4591},[117],{"categories":4593},[117],{"categories":4595},[],{"categories":4597},[71],{"categories":4599},[81],{"categories":4601},[117],{"categories":4603},[45],{"categories":4605},[542],{"categories":4607},[84],{"categories":4609},[81],{"categories":4611},[45],{"categories":4613},[71],{"categories":4615},[45],{"categories":4617},[81],{"categories":4619},[45],{"categories":4621},[45],{"categories":4623},[45],{"categories":4625},[45,81],{"categories":4627},[81],{"categories":4629},[239],{"categories":4631},[117],{"categories":4633},[81],{"categories":4635},[117],{"categories":4637},[81],{"categories":4639},[45],{"categories":4641},[],{"categories":4643},[117],{"categories":4645},[198],{"categories":4647},[71],{"categories":4649},[45],{"categories":4651},[45],{"categories":4653},[],{"categories":4655},[95],{"categories":4657},[],{"categories":4659},[71],{"categories":4661},[81],{"categories":4663},[117],{"categories":4665},[45],{"categories":4667},[117],{"categories":4669},[71],{"categories":4671},[117],{"categories":4673},[117],{"categories":4675},[],{"categories":4677},[76],{"categories":4679},[81],{"categories":4681},[117],{"categories":4683},[117],{"categories":4685},[117],{"categories":4687},[117],{"categories":4689},[117],{"categories":4691},[117],{"categories":4693},[117],{"categories":4695},[117],{"categories":4697},[117],{"categories":4699},[117],{"categories":4701},[120],{"categories":4703},[71],{"categories":4705},[45],{"categories":4707},[45],{"categories":4709},[81],{"categories":4711},[81],{"categories":4713},[],{"categories":4715},[45],{"categories":4717},[45,71],{"categories":4719},[],{"categories":4721},[81],{"categories":4723},[45],{"categories":4725},[117],{"categories":4727},[81],{"categories":4729},[867],{"categories":4731},[45],{"categories":4733},[45],{"categories":4735},[45],{"categories":4737},[45],{"categories":4739},[45],{"categories":4741},[333],{"categories":4743},[45],{"categories":4745},[45],{"categories":4747},[81],{"categories":4749},[45],{"categories":4751},[45],{"categories":4753},[76],{"categories":4755},[84],{"categories":4757},[81],{"categories":4759},[81],{"categories":4761},[],{"categories":4763},[81],{"categories":4765},[169],{"categories":4767},[117],{"categories":4769},[45],{"categories":4771},[],{"categories":4773},[84],{"categories":4775},[],{"categories":4777},[95],{"categories":4779},[45],{"categories":4781},[81],{"categories":4783},[169],{"categories":4785},[45],{"categories":4787},[],{"categories":4789},[45],{"categories":4791},[45],{"categories":4793},[],{"categories":4795},[198],{"categories":4797},[45],{"categories":4799},[81],{"categories":4801},[],{"categories":4803},[],{"categories":4805},[117],{"categories":4807},[71],{"categories":4809},[45],{"categories":4811},[45],{"categories":4813},[76],{"categories":4815},[45],{"categories":4817},[45],{"categories":4819},[81],{"categories":4821},[45],{"categories":4823},[76],{"categories":4825},[76],{"categories":4827},[169],{"categories":4829},[],{"categories":4831},[45],{"categories":4833},[117],{"categories":4835},[],{"categories":4837},[45],{"categories":4839},[45],{"categories":4841},[169],{"categories":4843},[45],{"categories":4845},[45],{"categories":4847},[198],{"categories":4849},[45],{"categories":4851},[239],{"categories":4853},[],{"categories":4855},[81],{"categories":4857},[45],{"categories":4859},[198],{"categories":4861},[95],{"categories":4863},[],{"categories":4865},[45],{"categories":4867},[],{"categories":4869},[81],{"categories":4871},[169],{"categories":4873},[95],{"categories":4875},[],{"categories":4877},[3091],{"categories":4879},[76],{"categories":4881},[71],{"categories":4883},[45],{"categories":4885},[120],{"categories":4887},[81],{"categories":4889},[169],{"categories":4891},[45],{"categories":4893},[95],{"categories":4895},[],{"categories":4897},[],{"categories":4899},[45],{"categories":4901},[71],{"categories":4903},[45],{"categories":4905},[198],{"categories":4907},[],{"categories":4909},[81],{"categories":4911},[81],{"categories":4913},[45],{"categories":4915},[81],{"categories":4917},[45],{"categories":4919},[117],{"categories":4921},[95],{"categories":4923},[45],{"categories":4925},[81],{"categories":4927},[84],{"categories":4929},[45],{"categories":4931},[45],{"categories":4933},[45],{"categories":4935},[81],{"categories":4937},[45],{"categories":4939},[84],{"categories":4941},[198],{"categories":4943},[117],{"categories":4945},[],{"categories":4947},[198],{"categories":4949},[45],{"categories":4951},[],{"categories":4953},[95],{"categories":4955},[81],{"categories":4957},[],{"categories":4959},[45],{"categories":4961},[45],{"categories":4963},[45],{"categories":4965},[45],{"categories":4967},[45],{"categories":4969},[81],{"categories":4971},[76],{"categories":4973},[71],{"categories":4975},[81],{"categories":4977},[45],{"categories":4979},[169],{"categories":4981},[95],{"categories":4983},[95],{"categories":4985},[45],{"categories":4987},[120],{"categories":4989},[81],{"categories":4991},[45],{"categories":4993},[45],{"categories":4995},[81],{"categories":4997},[45],{"categories":4999},[45],{"categories":5001},[81],{"categories":5003},[76],{"categories":5005},[45],{"categories":5007},[169],{"categories":5009},[95],{"categories":5011},[81],{"categories":5013},[45],{"categories":5015},[84],{"categories":5017},[45],{"categories":5019},[81],{"categories":5021},[45],{"categories":5023},[45],{"categories":5025},[117],{"categories":5027},[45],{"categories":5029},[],{"categories":5031},[71],{"categories":5033},[45],{"categories":5035},[45],{"categories":5037},[45],{"categories":5039},[95],{"categories":5041},[95],{"categories":5043},[45],{"categories":5045},[95],{"categories":5047},[45],{"categories":5049},[81],{"categories":5051},[45],{"categories":5053},[45],{"categories":5055},[45],{"categories":5057},[45],{"categories":5059},[45],{"categories":5061},[],{"categories":5063},[45],{"categories":5065},[169],{"categories":5067},[81],{"categories":5069},[76],{"categories":5071},[117],{"categories":5073},[45],{"categories":5075},[81],{"categories":5077},[45],{"categories":5079},[81],{"categories":5081},[45],{"categories":5083},[45],{"categories":5085},[169],{"categories":5087},[81],{"categories":5089},[45],{"categories":5091},[198],{"categories":5093},[45],{"categories":5095},[120],{"categories":5097},[45],{"categories":5099},[45],{"categories":5101},[117],{"categories":5103},[45],{"categories":5105},[45],{"categories":5107},[45],{"categories":5109},[45],{"categories":5111},[81],{"categories":5113},[239],{"categories":5115},[45],{"categories":5117},[95],{"categories":5119},[81],{"categories":5121},[120],{"categories":5123},[],{"categories":5125},[81],{"categories":5127},[95],{"categories":5129},[45],{"categories":5131},[45],{"categories":5133},[2288],{"categories":5135},[169],{"categories":5137},[268],{"categories":5139},[45],{"categories":5141},[45],{"categories":5143},[45],{"categories":5145},[45],{"categories":5147},[71],{"categories":5149},[45],{"categories":5151},[45],{"categories":5153},[95],{"categories":5155},[76],{"categories":5157},[45],{"categories":5159},[95],{"categories":5161},[45],{"categories":5163},[],{"categories":5165},[81],{"categories":5167},[81],{"categories":5169},[45],{"categories":5171},[45],{"categories":5173},[45],{"categories":5175},[120],{"categories":5177},[],{"categories":5179},[117],{"categories":5181},[],{"categories":5183},[117],{"categories":5185},[45],{"categories":5187},[45],{"categories":5189},[81],{"categories":5191},[45],{"categories":5193},[81],{"categories":5195},[81],{"categories":5197},[],{"categories":5199},[45],{"categories":5201},[117],{"categories":5203},[45],{"categories":5205},[],{"categories":5207},[45],{"categories":5209},[45],{"categories":5211},[],{"categories":5213},[45],{"categories":5215},[45],{"categories":5217},[169],{"categories":5219},[95],{"categories":5221},[81],{"categories":5223},[45],{"categories":5225},[45],{"categories":5227},[45],{"categories":5229},[45],{"categories":5231},[198],{"categories":5233},[45],{"categories":5235},[45],{"categories":5237},[45],{"categories":5239},[71],{"categories":5241},[45],{"categories":5243},[45],{"categories":5245},[],{"categories":5247},[45],{"categories":5249},[45],{"categories":5251},[45],{"categories":5253},[],{"categories":5255},[71],{"categories":5257},[45],{"categories":5259},[45],{"categories":5261},[117],{"categories":5263},[95],{"categories":5265},[84],{"categories":5267},[81],{"categories":5269},[412],{"categories":5271},[45],{"categories":5273},[45],{"categories":5275},[45],{"categories":5277},[95],{"categories":5279},[117],{"categories":5281},[169],{"categories":5283},[45],{"categories":5285},[45],{"categories":5287},[45],{"categories":5289},[45],{"categories":5291},[117],{"categories":5293},[45],{"categories":5295},[169],{"categories":5297},[45],{"categories":5299},[45],{"categories":5301},[117],{"categories":5303},[169],{"categories":5305},[45],{"categories":5307},[117],{"categories":5309},[45],{"categories":5311},[81],{"categories":5313},[81],{"categories":5315},[81],{"categories":5317},[95],{"categories":5319},[117],{"categories":5321},[81],{"categories":5323},[81],{"categories":5325},[45],{"categories":5327},[95],{"categories":5329},[169],{"categories":5331},[45],{"categories":5333},[45],{"categories":5335},[81],{"categories":5337},[45],{"categories":5339},[],{"categories":5341},[81],{"categories":5343},[],{"categories":5345},[45],{"categories":5347},[45],{"categories":5349},[],{"categories":5351},[],{"categories":5353},[81],{"categories":5355},[76],{"categories":5357},[81],{"categories":5359},[5360],"Liability & Ethics",{"categories":5362},[45],{"categories":5364},[45],{"categories":5366},[45],{"categories":5368},[81],{"categories":5370},[71],{"categories":5372},[81],{"categories":5374},[76],{"categories":5376},[198],{"categories":5378},[81],{"categories":5380},[45],{"categories":5382},[45],{"categories":5384},[],{"categories":5386},[517],{"categories":5388},[81],{"categories":5390},[],{"categories":5392},[45],{"categories":5394},[71],{"categories":5396},[81],{"categories":5398},[],{"categories":5400},[81],{"categories":5402},[45],{"categories":5404},[45],{"categories":5406},[95],{"categories":5408},[45],{"categories":5410},[117],{"categories":5412},[45],{"categories":5414},[45],{"categories":5416},[84],{"categories":5418},[81],{"categories":5420},[45],{"categories":5422},[45],{"categories":5424},[45],{"categories":5426},[117],{"categories":5428},[81],{"categories":5430},[95],{"categories":5432},[169],{"categories":5434},[71],{"categories":5436},[45],{"categories":5438},[45],{"categories":5440},[45],{"categories":5442},[],{"categories":5444},[81],{"categories":5446},[81],{"categories":5448},[81],{"categories":5450},[412],{"categories":5452},[169],{"categories":5454},[81],{"categories":5456},[239],{"categories":5458},[95],{"categories":5460},[117],{"categories":5462},[45],{"categories":5464},[169],{"categories":5466},[45],{"categories":5468},[71],{"categories":5470},[],{"categories":5472},[81],{"categories":5474},[45],{"categories":5476},[45],{"categories":5478},[45],{"categories":5480},[45],{"categories":5482},[81],{"categories":5484},[45],{"categories":5486},[45],{"categories":5488},[169],{"categories":5490},[],{"categories":5492},[81],{"categories":5494},[84],{"categories":5496},[117],{"categories":5498},[81],{"categories":5500},[76],{"categories":5502},[],{"categories":5504},[45],{"categories":5506},[45],{"categories":5508},[84],{"categories":5510},[45],{"categories":5512},[81],{"categories":5514},[117],{"categories":5516},[71],{"categories":5518},[239],{"categories":5520},[45],{"categories":5522},[45],{"categories":5524},[45],{"categories":5526},[117],{"categories":5528},[76],{"categories":5530},[45],{"categories":5532},[169],{"categories":5534},[117],{"categories":5536},[239],{"categories":5538},[45],{"categories":5540},[81],{"categories":5542},[],{"categories":5544},[471],{"categories":5546},[],{"categories":5548},[45],{"categories":5550},[239],{"categories":5552},[45],{"categories":5554},[120],{"categories":5556},[45],{"categories":5558},[81],{"categories":5560},[81],{"categories":5562},[5563],"Design News & Tools",{"categories":5565},[45],{"categories":5567},[45],{"categories":5569},[117],{"categories":5571},[45],{"categories":5573},[45],{"categories":5575},[71],{"categories":5577},[81],{"categories":5579},[45],{"categories":5581},[169],{"categories":5583},[81],{"categories":5585},[81],{"categories":5587},[169],{"categories":5589},[45],{"categories":5591},[45],{"categories":5593},[412],{"categories":5595},[81],{"categories":5597},[45],{"categories":5599},[45],{"categories":5601},[412],{"categories":5603},[45],{"categories":5605},[198],{"categories":5607},[45],{"categories":5609},[81],{"categories":5611},[],{"categories":5613},[45],{"categories":5615},[45],{"categories":5617},[45],{"categories":5619},[117],{"categories":5621},[45],{"categories":5623},[71],{"categories":5625},[],{"categories":5627},[45],{"categories":5629},[45],{"categories":5631},[45],{"categories":5633},[95],{"categories":5635},[542],{"categories":5637},[95],{"categories":5639},[169],{"categories":5641},[45],{"categories":5643},[45,81],{"categories":5645},[198,76],{"categories":5647},[95],{"categories":5649},[45],{"categories":5651},[45],{"categories":5653},[45],{"categories":5655},[45],{"categories":5657},[],{"categories":5659},[81],{"categories":5661},[45],{"categories":5663},[],{"categories":5665},[45],{"categories":5667},[95],{"categories":5669},[45],{"categories":5671},[95],{"categories":5673},[],{"categories":5675},[81],{"categories":5677},[45],{"categories":5679},[76],{"categories":5681},[45],{"categories":5683},[117],{"categories":5685},[45],{"categories":5687},[],{"categories":5689},[81],{"categories":5691},[45],{"categories":5693},[],{"categories":5695},[169],{"categories":5697},[45],{"categories":5699},[45],{"categories":5701},[81],{"categories":5703},[45],{"categories":5705},[45],{"categories":5707},[71],{"categories":5709},[81],{"categories":5711},[45],{"categories":5713},[],{"categories":5715},[45],{"categories":5717},[239],{"categories":5719},[198],{"categories":5721},[76],{"categories":5723},[76],{"categories":5725},[45],{"categories":5727},[71],{"categories":5729},[71],{"categories":5731},[45],{"categories":5733},[81],{"categories":5735},[45],{"categories":5737},[45],{"categories":5739},[45],{"categories":5741},[45],{"categories":5743},[95],{"categories":5745},[45],{"categories":5747},[71],{"categories":5749},[45],{"categories":5751},[45],{"categories":5753},[81],{"categories":5755},[45],{"categories":5757},[198],{"categories":5759},[45],{"categories":5761},[117],{"categories":5763},[45],{"categories":5765},[45],{"categories":5767},[81],{"categories":5769},[84],{"categories":5771},[45],{"categories":5773},[45],{"categories":5775},[81],{"categories":5777},[],{"categories":5779},[95],{"categories":5781},[],{"categories":5783},[95],{"categories":5785},[81],{"categories":5787},[71],{"categories":5789},[45],{"categories":5791},[],{"categories":5793},[120],{"categories":5795},[239],{"categories":5797},[45],{"categories":5799},[95],{"categories":5801},[45],{"categories":5803},[],{"categories":5805},[117],{"categories":5807},[81],{"categories":5809},[95],{"categories":5811},[169],{"categories":5813},[76],{"categories":5815},[45],{"categories":5817},[45],{"categories":5819},[81],{"categories":5821},[95],{"categories":5823},[81],{"categories":5825},[117],{"categories":5827},[45],{"categories":5829},[84],{"categories":5831},[71],{"categories":5833},[84],{"categories":5835},[117],{"categories":5837},[45],{"categories":5839},[95],{"categories":5841},[45],{"categories":5843},[169],{"categories":5845},[76],{"categories":5847},[45],{"categories":5849},[45],{"categories":5851},[45],{"categories":5853},[45],{"categories":5855},[45],{"categories":5857},[45],{"categories":5859},[81],{"categories":5861},[45],{"categories":5863},[81],{"categories":5865},[45],{"categories":5867},[45],{"categories":5869},[71],{"categories":5871},[45],{"categories":5873},[81],{"categories":5875},[81],{"categories":5877},[169],{"categories":5879},[81],{"categories":5881},[81],{"categories":5883},[45],{"categories":5885},[71],{"categories":5887},[81],{"categories":5889},[169],{"categories":5891},[],{"categories":5893},[45],{"categories":5895},[120],{"categories":5897},[412],{"categories":5899},[45],{"categories":5901},[81],{"categories":5903},[45],{"categories":5905},[45],{"categories":5907},[95],{"categories":5909},[45],{"categories":5911},[],{"categories":5913},[45],{"categories":5915},[81],{"categories":5917},[45],{"categories":5919},[198],{"categories":5921},[45],{"categories":5923},[95],{"categories":5925},[45],{"categories":5927},[117],{"categories":5929},[81],{"categories":5931},[45],{"categories":5933},[198],{"categories":5935},[81],{"categories":5937},[76],{"categories":5939},[76],{"categories":5941},[45],{"categories":5943},[45],{"categories":5945},[45],{"categories":5947},[45],{"categories":5949},[45],{"categories":5951},[45],{"categories":5953},[71],{"categories":5955},[],{"categories":5957},[45],{"categories":5959},[45],{"categories":5961},[81],{"categories":5963},[81],{"categories":5965},[45],{"categories":5967},[45],{"categories":5969},[45],{"categories":5971},[45],{"categories":5973},[45],{"categories":5975},[95],{"categories":5977},[],{"categories":5979},[71],{"categories":5981},[45],{"categories":5983},[45],{"categories":5985},[81],{"categories":5987},[81],{"categories":5989},[],{"categories":5991},[95],{"categories":5993},[95],{"categories":5995},[45],{"categories":5997},[198],{"categories":5999},[76],{"categories":6001},[169],{"categories":6003},[],{"categories":6005},[45],{"categories":6007},[81],{"categories":6009},[71],{"categories":6011},[45],{"categories":6013},[45],{"categories":6015},[95],{"categories":6017},[71],{"categories":6019},[45],{"categories":6021},[45],{"categories":6023},[117],{"categories":6025},[120],{"categories":6027},[45],{"categories":6029},[117],{"categories":6031},[81],{"categories":6033},[45],{"categories":6035},[],{"categories":6037},[117],{"categories":6039},[81],{"categories":6041},[169],{"categories":6043},[120],{"categories":6045},[45],{"categories":6047},[45],{"categories":6049},[],{"categories":6051},[81],{"categories":6053},[81],{"categories":6055},[81],{"categories":6057},[3091],{"categories":6059},[117],{"categories":6061},[45],{"categories":6063},[95],{"categories":6065},[45],{"categories":6067},[45],{"categories":6069},[45],{"categories":6071},[45],{"categories":6073},[45],{"categories":6075},[76],{"categories":6077},[45],{"categories":6079},[71],{"categories":6081},[1754],{"categories":6083},[239],{"categories":6085},[71],{"categories":6087},[],{"categories":6089},[45],{"categories":6091},[],{"categories":6093},[117],{"categories":6095},[81],{"categories":6097},[169],{"categories":6099},[45],{"categories":6101},[45],{"categories":6103},[45],{"categories":6105},[117],{"categories":6107},[],{"categories":6109},[81],{"categories":6111},[45],{"categories":6113},[81],{"categories":6115},[81],{"categories":6117},[],{"categories":6119},[45],{"categories":6121},[],{"categories":6123},[117],{"categories":6125},[71],{"categories":6127},[169],{"categories":6129},[45],{"categories":6131},[81],{"categories":6133},[117],{"categories":6135},[45],{"categories":6137},[117],{"categories":6139},[],{"categories":6141},[117],{"categories":6143},[45],{"categories":6145},[71],{"categories":6147},[412],{"categories":6149},[81],{"categories":6151},[45],{"categories":6153},[],{"categories":6155},[95],{"categories":6157},[81],{"categories":6159},[84],{"categories":6161},[81],{"categories":6163},[71],{"categories":6165},[45],{"categories":6167},[45],{"categories":6169},[],{"categories":6171},[],{"categories":6173},[],{"categories":6175},[169],{"categories":6177},[45],{"categories":6179},[81],{"categories":6181},[45],{"categories":6183},[45],{"categories":6185},[],{"categories":6187},[],{"categories":6189},[],{"categories":6191},[45],{"categories":6193},[81],{"categories":6195},[169],{"categories":6197},[45],{"categories":6199},[],{"categories":6201},[81],{"categories":6203},[45],{"categories":6205},[45],{"categories":6207},[71],{"categories":6209},[],{"categories":6211},[],{"categories":6213},[45],{"categories":6215},[45],{"categories":6217},[81],{"categories":6219},[169],{"categories":6221},[45],{"categories":6223},[117],{"categories":6225},[],{"categories":6227},[45],{"categories":6229},[45],{"categories":6231},[198],{"categories":6233},[117],{"categories":6235},[198],{"categories":6237},[120],{"categories":6239},[45],{"categories":6241},[45],{"categories":6243},[],{"categories":6245},[],{"categories":6247},[81],{"categories":6249},[],{"categories":6251},[45],{"categories":6253},[412],{"categories":6255},[45],{"categories":6257},[45],{"categories":6259},[45],{"categories":6261},[45],{"categories":6263},[],{"categories":6265},[81],{"categories":6267},[45],{"categories":6269},[45],{"categories":6271},[],{"categories":6273},[81],{"categories":6275},[45],{"categories":6277},[117],{"categories":6279},[45],{"categories":6281},[198],{"categories":6283},[76],{"categories":6285},[84],{"categories":6287},[45],{"categories":6289},[45],{"categories":6291},[81],{"categories":6293},[120],{"categories":6295},[81],{"categories":6297},[81],{"categories":6299},[],{"categories":6301},[45],{"categories":6303},[81],{"categories":6305},[],{"categories":6307},[45],{"categories":6309},[],{"categories":6311},[117],{"categories":6313},[76],{"categories":6315},[],{"categories":6317},[45],{"categories":6319},[45],{"categories":6321},[45],{"categories":6323},[],{"categories":6325},[81],{"categories":6327},[169],{"categories":6329},[71],{"categories":6331},[45],{"categories":6333},[],{"categories":6335},[76],{"categories":6337},[198],{"categories":6339},[45],{"categories":6341},[95],{"categories":6343},[71],{"categories":6345},[120],{"categories":6347},[76],{"categories":6349},[95],{"categories":6351},[81],{"categories":6353},[95],{"categories":6355},[],{"categories":6357},[45],{"categories":6359},[84],{"categories":6361},[45],{"categories":6363},[],{"categories":6365},[81],{"categories":6367},[71],{"categories":6369},[169],{"categories":6371},[45],{"categories":6373},[71],{"categories":6375},[81],{"categories":6377},[239],{"categories":6379},[45],{"categories":6381},[45],{"categories":6383},[45],{"categories":6385},[45],{"categories":6387},[45],{"categories":6389},[71],{"categories":6391},[45],{"categories":6393},[95],{"categories":6395},[120],{"categories":6397},[81],{"categories":6399},[],{"categories":6401},[45],{"categories":6403},[45],{"categories":6405},[45],{"categories":6407},[95],{"categories":6409},[81],{"categories":6411},[117],{"categories":6413},[95],{"categories":6415},[45],{"categories":6417},[84],{"categories":6419},[],{"categories":6421},[169],{"categories":6423},[95],{"categories":6425},[117],{"categories":6427},[45],{"categories":6429},[71],{"categories":6431},[81],{"categories":6433},[45],{"categories":6435},[45],{"categories":6437},[81],{"categories":6439},[84],{"categories":6441},[45],{"categories":6443},[81],{"categories":6445},[45],{"categories":6447},[76],{"categories":6449},[81],{"categories":6451},[81,239],{"categories":6453},[45],{"categories":6455},[45],{"categories":6457},[81],{"categories":6459},[95],{"categories":6461},[45],{"categories":6463},[45],{"categories":6465},[120],{"categories":6467},[81],{"categories":6469},[198],{"categories":6471},[81],{"categories":6473},[76],{"categories":6475},[],{"categories":6477},[81],{"categories":6479},[45],{"categories":6481},[76],{"categories":6483},[],{"categories":6485},[],{"categories":6487},[95],{"categories":6489},[45],{"categories":6491},[45],{"categories":6493},[81],{"categories":6495},[120],{"categories":6497},[198],{"categories":6499},[45],{"categories":6501},[45],{"categories":6503},[45],{"categories":6505},[81],{"categories":6507},[],{"categories":6509},[81],{"categories":6511},[117],{"categories":6513},[45],{"categories":6515},[81],{"categories":6517},[81],{"categories":6519},[45],{"categories":6521},[],{"categories":6523},[117],{"categories":6525},[95],{"categories":6527},[3091],{"categories":6529},[71],{"categories":6531},[95],{"categories":6533},[45],{"categories":6535},[81],{"categories":6537},[45],{"categories":6539},[45],{"categories":6541},[198],{"categories":6543},[95],{"categories":6545},[120],{"categories":6547},[],{"categories":6549},[117],{"categories":6551},[45],{"categories":6553},[45],{"categories":6555},[],{"categories":6557},[81],{"categories":6559},[45],{"categories":6561},[45],{"categories":6563},[45],{"categories":6565},[45],{"categories":6567},[81],{"categories":6569},[45],{"categories":6571},[45],{"categories":6573},[45],{"categories":6575},[84],{"categories":6577},[45],{"categories":6579},[81],{"categories":6581},[45],{"categories":6583},[45],{"categories":6585},[45],{"categories":6587},[45],{"categories":6589},[45],{"categories":6591},[45],{"categories":6593},[45],{"categories":6595},[76],{"categories":6597},[],{"categories":6599},[84],{"categories":6601},[117],{"categories":6603},[81],{"categories":6605},[45],{"categories":6607},[95],{"categories":6609},[],{"categories":6611},[95],{"categories":6613},[95],{"categories":6615},[81],{"categories":6617},[95],{"categories":6619},[45],{"categories":6621},[45],{"categories":6623},[45],{"categories":6625},[81],{"categories":6627},[95],{"categories":6629},[45],{"categories":6631},[45],{"categories":6633},[45],{"categories":6635},[81],{"categories":6637},[117],{"categories":6639},[45],{"categories":6641},[45],{"categories":6643},[45],{"categories":6645},[76],{"categories":6647},[45],{"categories":6649},[81],{"categories":6651},[169],{"categories":6653},[],{"categories":6655},[45],{"categories":6657},[120],{"categories":6659},[81],{"categories":6661},[45],{"categories":6663},[45],{"categories":6665},[],{"categories":6667},[45],{"categories":6669},[45],{"categories":6671},[117],{"categories":6673},[45],{"categories":6675},[45],{"categories":6677},[81],{"categories":6679},[198],{"categories":6681},[],{"categories":6683},[],{"categories":6685},[95],{"categories":6687},[45],{"categories":6689},[45],{"categories":6691},[117],{"categories":6693},[45],{"categories":6695},[95],{"categories":6697},[117],{"categories":6699},[45],{"categories":6701},[45],{"categories":6703},[198],{"categories":6705},[120],{"categories":6707},[45],{"categories":6709},[45],{"categories":6711},[71],{"categories":6713},[81],{"categories":6715},[45],{"categories":6717},[45],{"categories":6719},[81],{"categories":6721},[76],{"categories":6723},[81],{"categories":6725},[95],{"categories":6727},[45],{"categories":6729},[76],{"categories":6731},[],{"categories":6733},[45],{"categories":6735},[120],{"categories":6737},[45],{"categories":6739},[45],{"categories":6741},[],{"categories":6743},[117],{"categories":6745},[45],{"categories":6747},[81],{"categories":6749},[120],{"categories":6751},[45],{"categories":6753},[95],{"categories":6755},[95],{"categories":6757},[95],{"categories":6759},[45],{"categories":6761},[81],{"categories":6763},[81],{"categories":6765},[45],{"categories":6767},[81],{"categories":6769},[45],{"categories":6771},[45],{"categories":6773},[169],{"categories":6775},[120],{"categories":6777},[120],{"categories":6779},[],{"categories":6781},[117],{"categories":6783},[45],{"categories":6785},[45],{"categories":6787},[95],{"categories":6789},[],{"categories":6791},[117],{"categories":6793},[117],{"categories":6795},[117],{"categories":6797},[],{"categories":6799},[81],{"categories":6801},[45],{"categories":6803},[],{"categories":6805},[71],{"categories":6807},[76],{"categories":6809},[],{"categories":6811},[45],{"categories":6813},[45],{"categories":6815},[],{"categories":6817},[95],{"categories":6819},[],{"categories":6821},[],{"categories":6823},[],{"categories":6825},[],{"categories":6827},[45],{"categories":6829},[117],{"categories":6831},[],{"categories":6833},[],{"categories":6835},[45],{"categories":6837},[45],{"categories":6839},[45],{"categories":6841},[120],{"categories":6843},[45],{"categories":6845},[120],{"categories":6847},[],{"categories":6849},[120],{"categories":6851},[120],{"categories":6853},[239],{"categories":6855},[81],{"categories":6857},[95],{"categories":6859},[],{"categories":6861},[],{"categories":6863},[120],{"categories":6865},[95],{"categories":6867},[95],{"categories":6869},[95],{"categories":6871},[],{"categories":6873},[71],{"categories":6875},[95],{"categories":6877},[95],{"categories":6879},[71],{"categories":6881},[95],{"categories":6883},[76],{"categories":6885},[95],{"categories":6887},[95],{"categories":6889},[95],{"categories":6891},[120],{"categories":6893},[117],{"categories":6895},[117],{"categories":6897},[45],{"categories":6899},[95],{"categories":6901},[120],{"categories":6903},[239],{"categories":6905},[120],{"categories":6907},[120],{"categories":6909},[120],{"categories":6911},[],{"categories":6913},[76],{"categories":6915},[],{"categories":6917},[239],{"categories":6919},[95],{"categories":6921},[95],{"categories":6923},[95],{"categories":6925},[81],{"categories":6927},[117,76],{"categories":6929},[120],{"categories":6931},[],{"categories":6933},[],{"categories":6935},[120],{"categories":6937},[],{"categories":6939},[120],{"categories":6941},[117],{"categories":6943},[81],{"categories":6945},[],{"categories":6947},[95],{"categories":6949},[45],{"categories":6951},[169],{"categories":6953},[],{"categories":6955},[45],{"categories":6957},[],{"categories":6959},[117],{"categories":6961},[71],{"categories":6963},[120],{"categories":6965},[],{"categories":6967},[95],{"categories":6969},[117],[6971,7084,7281,7559],{"id":6972,"title":6973,"ai":6974,"body":6979,"categories":7034,"created_at":46,"date_modified":46,"description":39,"extension":47,"faq":46,"featured":48,"kicker_label":46,"meta":7035,"navigation":50,"path":7070,"published_at":7071,"question":46,"scraped_at":7072,"seo":7073,"sitemap":7074,"source_id":7075,"source_name":7076,"source_type":57,"source_url":7077,"stem":7078,"tags":7079,"thumbnail_url":46,"tldr":7081,"tweet":46,"unknown_tags":7082,"__hash__":7083},"summaries\u002Fsummaries\u002F352a655761b08b28-35b-models-on-rtx-4090-turboquant-kv-compression-u-summary.md","35B Models on RTX 4090: TurboQuant KV Compression Unlocks 32K Context",{"provider":7,"model":8,"input_tokens":6975,"output_tokens":6976,"processing_time_ms":6977,"cost_usd":6978},6914,2052,13171,0.00190195,{"type":14,"value":6980,"toc":7028},[6981,6985,6988,6992,6995,6999,7006,7012,7018,7021,7025],[17,6982,6984],{"id":6983},"q4_k_m-quantization-delivers-90-95-quality-at-60-original-size","Q4_K_M Quantization Delivers 90-95% Quality at 60% Original Size",[22,6986,6987],{},"Q4_K_M GGUF compresses model weights to ~0.6 GB per billion parameters (7B → 4GB, 32B → 19GB, 70B → 40GB) by storing weights in 4 bits with K-quant block grouping and M-medium mixed precision for sensitive layers. This preserves 90-95% of FP16 accuracy, making it the default for local runs on HuggingFace\u002FOllama. Dense 35B models need 21-22GB VRAM for weights alone on RTX 4090 (24GB total), leaving ~2GB for KV cache—insufficient beyond short contexts. MoE 35B (e.g., Qwen2.5-35B-A3B) activates only 3B params\u002Ftoken, fitting in ~20GB with 1.2GB KV at 64K context due to fewer active heads, reducing TurboQuant's necessity.",[17,6989,6991],{"id":6990},"turboquant-stacks-on-weights-for-long-context-memory-wins","TurboQuant Stacks on Weights for Long-Context Memory Wins",[22,6993,6994],{},"TurboQuant compresses KV cache to 2-4 bits at inference (PolarQuant + QJL, e.g., bits=3) without touching weights, enabling dense models like Mistral Small 3.1 24B or Qwen2.5-32B (64 layers, 8 GQA heads, head_dim=128) to handle 32K context on 24GB VRAM. Formula: 2 × layers × heads × head_dim × seq_len × bytes\u002Felement. Without it, 16K context KV hits ~4GB (total ~24GB borderline); with turbo3, drops to ~1.2GB, freeing space for 32K (~2.4GB). Fused Triton kernels compute attention on compressed KV, speeding up >8K contexts (major at 32K+). Asymmetric K@3bits\u002FV@2bits saves more with zero quality loss empirically.",[17,6996,6998],{"id":6997},"three-paths-to-turboquant-on-24gb-gpus-today","Three Paths to TurboQuant on 24GB GPUs Today",[22,7000,7001,7005],{},[7002,7003,7004],"strong",{},"PyPI turboquant-kv",": Wrap HF Transformers (load_in_4bit) with TurboQuantModel(bits=3).enable_decoder_fused_attention() for Python scripts; handles 512+ new tokens on long inputs.",[22,7007,7008,7011],{},[7002,7009,7010],{},"vLLM fork (0xSero\u002Fturboquant)",": install_turboquant_vllm(bits=3, head_dim=128) before LLM(model, gpu_memory_utilization=0.92); prebuilt codebooks for d=128\u002F256 at 2\u002F3\u002F4 bits; server-friendly.",[22,7013,7014,7017],{},[7002,7015,7016],{},"llama.cpp fork (turboquant_plus)",": Build with CUDA, run llama-server -m model-Q4_K_M.gguf --cache-type-k turbo3 --cache-type-v turbo2 -c 32768 -ngl 99. Turbo4 ≈ q8_0 quality, turbo3 best tradeoff, turbo2 extreme. Fits 32K on Qwen2.5-32B (19GB weights + \u003C4GB KV).",[22,7019,7020],{},"Quality holds ≥8B models; speedups context-dependent (\u003C2K: memory only). Experimental—await Google impl (Q2-Q3 2026), llama.cpp #20969, vLLM #38171 merges.",[17,7022,7024],{"id":7023},"optimal-stack-q4_k_m-gguf-turboquant_plus-turbo32","Optimal Stack: Q4_K_M GGUF + turboquant_plus turbo3\u002F2",[22,7026,7027],{},"Download Q4_K_M GGUF, use llama.cpp fork at 16-32K context. Achieves reliable 35B dense inference where defaults crash; 128K impossible (KV still GBs post-compression).",{"title":39,"searchDepth":40,"depth":40,"links":7029},[7030,7031,7032,7033],{"id":6983,"depth":40,"text":6984},{"id":6990,"depth":40,"text":6991},{"id":6997,"depth":40,"text":6998},{"id":7023,"depth":40,"text":7024},[45],{"content_references":7036,"triage":7065},[7037,7042,7045,7049,7053,7056,7059,7062],{"type":7038,"title":7039,"url":7040,"context":7041},"other","GGUF","https:\u002F\u002Fhuggingface.co\u002Fdocs\u002Fhub\u002Fgguf","mentioned",{"type":7038,"title":7043,"url":7044,"context":7041},"AWQ","https:\u002F\u002Fhuggingface.co\u002Fdocs\u002Ftransformers\u002Fquantization\u002Fawq",{"type":7038,"title":7046,"url":7047,"context":7048},"VRAM Requirements for AI Models","https:\u002F\u002Fwillitrunai.com\u002Fblog\u002Fvram-requirements-for-ai-models","cited",{"type":7050,"title":7051,"context":7052},"tool","turboquant-kv","recommended",{"type":7050,"title":7054,"url":7055,"context":7052},"0xSero\u002Fturboquant","https:\u002F\u002Fgithub.com\u002F0xSero\u002Fturboquant.git",{"type":7050,"title":7057,"url":7058,"context":7052},"turboquant_plus","https:\u002F\u002Fgithub.com\u002FTheTom\u002Fturboquant_plus.git",{"type":7038,"title":7060,"url":7061,"context":7041},"llama.cpp discussion #20969","https:\u002F\u002Fgithub.com\u002Fggml-org\u002Fllama.cpp\u002Fdiscussions\u002F20969",{"type":7038,"title":7063,"url":7064,"context":7041},"vLLM issue #38171","https:\u002F\u002Fgithub.com\u002Fvllm-project\u002Fvllm\u002Fissues\u002F38171",{"relevance":7066,"novelty":7067,"quality":7067,"actionability":7067,"composite":7068,"reasoning":7069},5,4,4.35,"Category: AI & LLMs. The article provides in-depth technical insights on running large language models efficiently, addressing the pain point of integrating AI features into products. It offers specific implementation paths for using TurboQuant, which is actionable for developers looking to optimize AI model performance.","\u002Fsummaries\u002F352a655761b08b28-35b-models-on-rtx-4090-turboquant-kv-compression-u-summary","2026-04-15 12:31:01","2026-04-15 15:39:14",{"title":6973,"description":39},{"loc":7070},"352a655761b08b28","Towards AI","https:\u002F\u002Fpub.towardsai.net\u002Frunning-a-35b-model-locally-with-turboquant-whats-actually-possible-right-now-1ac5327430b0?source=rss----98111c9905da---4","summaries\u002F352a655761b08b28-35b-models-on-rtx-4090-turboquant-kv-compression-u-summary",[7080,62,61],"llm","Stack Q4_K_M weight quantization with TurboQuant's 3-bit KV cache compression to run dense 35B models at 32K context on 24GB VRAM, fitting weights (20GB) + KV cache (under 4GB) with room to spare—use llama.cpp forks today.",[],"sGRm9blteDamXpWHWdqmPUk1Seq5Nct_nBmywP1bFT0",{"id":7085,"title":7086,"ai":7087,"body":7092,"categories":7259,"created_at":46,"date_modified":46,"description":39,"extension":47,"faq":46,"featured":48,"kicker_label":46,"meta":7260,"navigation":50,"path":7270,"published_at":46,"question":46,"scraped_at":7271,"seo":7272,"sitemap":7273,"source_id":7274,"source_name":7275,"source_type":57,"source_url":7064,"stem":7276,"tags":7277,"thumbnail_url":46,"tldr":7278,"tweet":46,"unknown_tags":7279,"__hash__":7280},"summaries\u002Fsummaries\u002Fd32d038984e0c1db-turboquant-4-7x-kv-cache-compression-in-vllm-summary.md","TurboQuant: 4-7x KV Cache Compression in vLLM",{"provider":7,"model":8,"input_tokens":7088,"output_tokens":7089,"processing_time_ms":7090,"cost_usd":7091},10176,1474,8441,0.0027497,{"type":14,"value":7093,"toc":7254},[7094,7098,7101,7104,7108,7111,7190,7193,7197,7200,7251],[17,7095,7097],{"id":7096},"turboquant-delivers-superior-kv-cache-compression","TurboQuant Delivers Superior KV Cache Compression",[22,7099,7100],{},"TurboQuant uses online vector quantization with QR rotation, Lloyd-Max codebooks, and bit-packing for 2-4 bit (including 2.5\u002F3.5 fractional) KV caches, achieving provably near-optimal distortion within 2.7x of information-theoretic limits. Unlike scalar methods like FP8 (e4m3\u002Fe5m2) or INT4, it preserves inner products unbiased—key for attention—while enabling 4-5x memory savings. Paper benchmarks show perfect Needle-in-a-Haystack recall at 4x compression and competitive LongBench scores at 2.5-3.5 bits\u002Fdim. It requires no preprocessing, runs online, and suits accelerators.",[22,7102,7103],{},"vLLM alternatives (FP8, compressed-tensors) optimize MSE element-wise but lack vector codebooks, inner-product focus, theoretical guarantees, or sub-4-bit flexibility.",[17,7105,7107],{"id":7106},"proven-zero-loss-performance-and-throughput-gains","Proven Zero-Loss Performance and Throughput Gains",[22,7109,7110],{},"PoC on Qwen2.5-7B (H200, 4K-16K context) yields:",[7112,7113,7114,7133],"table",{},[7115,7116,7117],"thead",{},[7118,7119,7120,7124,7127,7130],"tr",{},[7121,7122,7123],"th",{},"Config",[7121,7125,7126],{},"Exact Match",[7121,7128,7129],{},"Avg Cache GB",[7121,7131,7132],{},"vs Full",[7134,7135,7136,7151,7164,7177],"tbody",{},[7118,7137,7138,7142,7145,7148],{},[7139,7140,7141],"td",{},"Full",[7139,7143,7144],{},"6\u002F6",[7139,7146,7147],{},"0.510",[7139,7149,7150],{},"1.0x",[7118,7152,7153,7156,7158,7161],{},[7139,7154,7155],{},"TQ 2-bit",[7139,7157,7144],{},[7139,7159,7160],{},"0.068",[7139,7162,7163],{},"7.5x",[7118,7165,7166,7169,7171,7174],{},[7139,7167,7168],{},"TQ 3.5-bit",[7139,7170,7144],{},[7139,7172,7173],{},"0.112",[7139,7175,7176],{},"4.5x",[7118,7178,7179,7182,7184,7187],{},[7139,7180,7181],{},"TQ 4-bit",[7139,7183,7144],{},[7139,7185,7186],{},"0.132",[7139,7188,7189],{},"3.9x",[22,7191,7192],{},"Upstream PR #38280 (Qwen2.5-1.5B, H200) confirms 12\u002F12 exact matches across bit-widths, TTFT\u002FITL latency matching baseline (9.3ms\u002F8.4ms), and 21% throughput boost at batch=16. Phase 2 adds bit-packed uint8 storage (ceil(head_size*bits\u002F8)+2 bytes\u002Fslot) for full ratios.",[17,7194,7196],{"id":7195},"straightforward-vllm-integration-path","Straightforward vLLM Integration Path",[22,7198,7199],{},"Aligns with vLLM's framework:",[7201,7202,7203,7220,7227,7234,7241,7244],"ul",{},[7204,7205,7206,7207,7211,7212,7215,7216,7219],"li",{},"Extend ",[7208,7209,7210],"code",{},"CacheDType"," in ",[7208,7213,7214],{},"cache.py","\u002F",[7208,7217,7218],{},"torch_utils.py"," for integer indices.",[7204,7221,7222,7223,7226],{},"Add ",[7208,7224,7225],{},"@register_quantization_config(\"turboquant\") TurboQuantConfig"," targeting Attention layers.",[7204,7228,7229,7230,7233],{},"Implement ",[7208,7231,7232],{},"TurboQuantKVCacheMethod"," (extends BaseKVCacheMethod) for codebook params, MSE\u002FIP variants, per-head support.",[7204,7235,7236,7237,7240],{},"Update ",[7208,7238,7239],{},"is_quantized_kv_cache()"," detection.",[7204,7242,7243],{},"CUDA\u002FTriton encode\u002Fdecode kernels (43\u002F43 tests pass).",[7204,7245,7246,7247,7250],{},"Adjust ",[7208,7248,7249],{},"KVCacheSpec"," for codebook overhead\u002Fvariable ratios.",[22,7252,7253],{},"PoC covers steps 1-5; PR #38280 integrates fully with Triton attention. Related: PolarQuant, ollama\u002Follama#15051, llama.cpp#20977, vllm-omni#2214.",{"title":39,"searchDepth":40,"depth":40,"links":7255},[7256,7257,7258],{"id":7096,"depth":40,"text":7097},{"id":7106,"depth":40,"text":7107},{"id":7195,"depth":40,"text":7196},[45],{"content_references":7261,"triage":7266},[7262],{"type":7263,"title":7264,"url":7265,"context":7048},"paper","TurboQuant: Online Vector Quantization with Near-optimal Distortion Rate","https:\u002F\u002Farxiv.org\u002Fpdf\u002F2504.19874",{"relevance":7067,"novelty":7267,"quality":7067,"actionability":7067,"composite":7268,"reasoning":7269},3,3.8,"Category: AI & LLMs. The article discusses TurboQuant's vector quantization for KV cache compression, which is relevant for AI engineers looking to optimize LLM performance. It provides specific integration steps for vLLM, making it actionable for developers, though the content is quite technical and may not be accessible to all audiences.","\u002Fsummaries\u002Fd32d038984e0c1db-turboquant-4-7x-kv-cache-compression-in-vllm-summary","2026-04-16 03:08:39",{"title":7086,"description":39},{"loc":7270},"d32d038984e0c1db","__oneoff__","summaries\u002Fd32d038984e0c1db-turboquant-4-7x-kv-cache-compression-in-vllm-summary",[7080,62,61],"TurboQuant vector quantization compresses vLLM KV caches 3.9-7.5x at 2-4 bits\u002Fdim with perfect Needle-in-a-Haystack recall, zero latency overhead, and 21% throughput gains.",[],"XlnqSgcG5nhgzzRW6Sdk3XPgtmFuSj6gJC1hWx2uIwk",{"id":7282,"title":7283,"ai":7284,"body":7289,"categories":7534,"created_at":46,"date_modified":46,"description":39,"extension":47,"faq":46,"featured":48,"kicker_label":46,"meta":7535,"navigation":50,"path":7545,"published_at":7546,"question":46,"scraped_at":7547,"seo":7548,"sitemap":7549,"source_id":7550,"source_name":7551,"source_type":57,"source_url":7552,"stem":7553,"tags":7554,"thumbnail_url":46,"tldr":7556,"tweet":46,"unknown_tags":7557,"__hash__":7558},"summaries\u002Fsummaries\u002Fc879b50ed964f64d-stealth-cloakbrowser-automation-in-colab-with-pers-summary.md","Stealth CloakBrowser Automation in Colab with Persistence",{"provider":7,"model":8,"input_tokens":7285,"output_tokens":7286,"processing_time_ms":7287,"cost_usd":7288},9090,2229,32481,0.00291,{"type":14,"value":7290,"toc":7528},[7291,7295,7352,7372,7376,7406,7421,7425,7451,7455,7504],[17,7292,7294],{"id":7293},"colab-setup-and-async-isolation-for-reliable-launches","Colab Setup and Async Isolation for Reliable Launches",[22,7296,7297,7298,7301,7302,7305,7306,7309,7310,7313,7314,7317,7318,7317,7321,7324,7325,7328,7329,7332,7333,7317,7336,7339,7340,7343,7344,7347,7348,7351],{},"Install CloakBrowser via ",[7208,7299,7300],{},"pip install cloakbrowser playwright pandas beautifulsoup4",", then ",[7208,7303,7304],{},"playwright install-deps chromium"," for runtime dependencies. Prepare stealth binary with ",[7208,7307,7308],{},"ensure_binary()"," and verify via ",[7208,7311,7312],{},"binary_info()",". Colab's existing asyncio loop blocks Playwright sync APIs like ",[7208,7315,7316],{},"launch()",", ",[7208,7319,7320],{},"launch_context()",[7208,7322,7323],{},"launch_persistent_context()","—wrap them in ",[7208,7326,7327],{},"ThreadPoolExecutor"," to run in a separate thread: ",[7208,7330,7331],{},"executor.submit(fn).result()",". This enables headless launches with ",[7208,7334,7335],{},"headless=True",[7208,7337,7338],{},"humanize=True"," (anti-detection), and args like ",[7208,7341,7342],{},"--no-sandbox --disable-dev-shm-usage",". Working dir ",[7208,7345,7346],{},"\u002Fcontent\u002Fcloakbrowser_advanced_tutorial"," stores screenshots, ",[7208,7349,7350],{},"storage_state.json",", and profile dirs.",[22,7353,7354,7355,7358,7359,7362,7363,7367,7368,7371],{},"Basic launch: ",[7208,7356,7357],{},"browser = launch(...)","; ",[7208,7360,7361],{},"page.goto('https:\u002F\u002Fexample.com', wait_until='domcontentloaded', timeout=60000)"," extracts title, body preview",[7364,7365,7366],"span",{},":300",", URL. Always ",[7208,7369,7370],{},"safe_close()"," in finally blocks to avoid leaks.",[17,7373,7375],{"id":7374},"custom-contexts-for-realistic-browser-simulation","Custom Contexts for Realistic Browser Simulation",[22,7377,7378,7379,7382,7383,7386,7387,7390,7391,7317,7394,7397,7398,7401,7402,7405],{},"Use ",[7208,7380,7381],{},"launch_context(headless=True, humanize=True, viewport={'width':1365,'height':768}, locale='en-US', timezone_id='America\u002FNew_York', color_scheme='light', extra_http_headers={'Accept-Language':'en-US,en;q=0.9', 'X-Tutorial-Run':'cloakbrowser-colab'})",". Navigate to data:URL test pages for safe interaction: fill form ",[7208,7384,7385],{},"#name","=\"CloakBrowser Colab User\", ",[7208,7388,7389],{},"#message","=\"We are testing...\", click ",[7208,7392,7393],{},"#submit",[7208,7395,7396],{},"wait_for_timeout(1000)",". Save ",[7208,7399,7400],{},"context.storage_state(path='storage_state.json')","; screenshot ",[7208,7403,7404],{},"full_page=True"," to PNG.",[22,7407,7408,7409,7412,7413,7416,7417,7420],{},"Restore in new context: ",[7208,7410,7411],{},"launch_context(..., storage_state='storage_state.json')","; verify localStorage like ",[7208,7414,7415],{},"tutorial_name"," persists via ",[7208,7418,7419],{},"page.evaluate(\"() => localStorage.getItem('tutorial_name')\")",". Demonstrates session continuity without full profile overhead.",[17,7422,7424],{"id":7423},"persistent-profiles-across-restarts","Persistent Profiles Across Restarts",[22,7426,7427,7430,7431,7434,7435,7438,7439,7442,7443,7446,7447,7450],{},[7208,7428,7429],{},"launch_persistent_context(str(PROFILE_DIR), ...)"," creates dir-based profiles surviving ",[7208,7432,7433],{},"ctx.close()"," and relaunches. First run: ",[7208,7436,7437],{},"page.evaluate(\"localStorage.setItem('persistent_profile_demo', 'saved_across_browser_restarts')\")","; second run confirms value and timestamp ",[7208,7440,7441],{},"new Date().toISOString()"," match, proving ",[7208,7444,7445],{},"persisted_successfully: true",". Use viewport=1280x720 for persistence demo. Clear dir with ",[7208,7448,7449],{},"shutil.rmtree(PROFILE_DIR)"," before tests. Profiles handle localStorage automatically, ideal for long-running automations.",[17,7452,7454],{"id":7453},"stealth-signal-inspection-and-content-extraction","Stealth Signal Inspection and Content Extraction",[22,7456,7457,7458,7461,7462,7317,7465,7317,7468,7317,7471,7317,7474,7317,7477,7317,7480,7317,7483,7317,7486,7317,7489,7317,7492,7495,7496,7499,7500,7503],{},"Test page JavaScript collects 15+ signals: ",[7208,7459,7460],{},"navigator.webdriver"," (false for stealth), ",[7208,7463,7464],{},"userAgent",[7208,7466,7467],{},"platform",[7208,7469,7470],{},"languages",[7208,7472,7473],{},"hardwareConcurrency",[7208,7475,7476],{},"deviceMemory",[7208,7478,7479],{},"pluginsLength",[7208,7481,7482],{},"chromeObjectPresent:true",[7208,7484,7485],{},"timezone",[7208,7487,7488],{},"screen:{width,height,colorDepth=24,pixelDepth=24}",[7208,7490,7491],{},"viewport:{innerWidth,innerHeight,devicePixelRatio}",[7208,7493,7494],{},"webglVendor\u002FRenderer"," (masked), ",[7208,7497,7498],{},"localStorageWorks:true",". Extract via ",[7208,7501,7502],{},"page.evaluate('() => collectSignals()')",".",[22,7505,7506,7507,7317,7510,7317,7513,7516,7517,7317,7520,7523,7524,7527],{},"Capture rendered content: ",[7208,7508,7509],{},"page.title()",[7208,7511,7512],{},"locator('h1').inner_text(timeout=15000)",[7208,7514,7515],{},"page.content()",". Parse static HTML with BeautifulSoup: ",[7208,7518,7519],{},"soup.title.get_text()",[7208,7521,7522],{},"soup.find('h1')",", links list ",[7208,7525,7526],{},"[{text,href}]",". Compare rendered vs static reveals JS effects. Pandas table summarizes: signals (e.g., webdriver=false, pluginsLength=null), persistence true, outputs like screenshot_path. Builds production-ready pipelines evading detection while extracting parseable data.",{"title":39,"searchDepth":40,"depth":40,"links":7529},[7530,7531,7532,7533],{"id":7293,"depth":40,"text":7294},{"id":7374,"depth":40,"text":7375},{"id":7423,"depth":40,"text":7424},{"id":7453,"depth":40,"text":7454},[81],{"content_references":7536,"triage":7543},[7537,7540],{"type":7050,"title":7538,"url":7539,"context":7041},"CloakBrowser","https:\u002F\u002Fgithub.com\u002FCloakHQ\u002FCloakBrowser",{"type":7038,"title":7541,"url":7542,"context":7041},"cloakbrowser_colab_browser_automation_tutorial_Marktechpost.ipynb","https:\u002F\u002Fgithub.com\u002FMarktechpost\u002FAI-Agents-Projects-Tutorials\u002Fblob\u002Fmain\u002FAI%20Agents%20Codes\u002Fcloakbrowser_colab_browser_automation_tutorial_Marktechpost.ipynb",{"relevance":7067,"novelty":7267,"quality":7067,"actionability":7067,"composite":7268,"reasoning":7544},"Category: AI Automation. The article provides a practical guide on setting up browser automation using CloakBrowser in Google Colab, which is relevant for developers looking to implement automation in their AI-powered products. It includes specific code snippets and configurations that can be directly applied, addressing the audience's need for actionable content.","\u002Fsummaries\u002Fc879b50ed964f64d-stealth-cloakbrowser-automation-in-colab-with-pers-summary","2026-05-08 00:14:49","2026-05-08 11:28:21",{"title":7283,"description":39},{"loc":7545},"c879b50ed964f64d","MarkTechPost","https:\u002F\u002Fwww.marktechpost.com\u002F2026\u002F05\u002F07\u002Fbuild-a-cloakbrowser-automation-workflow-with-stealth-chromium-persistent-profiles-and-browser-signal-inspection\u002F","summaries\u002Fc879b50ed964f64d-stealth-cloakbrowser-automation-in-colab-with-pers-summary",[61,7555,62],"automation","Run Playwright-style stealth Chromium automation in Google Colab by isolating sync APIs in a worker thread; customize contexts with viewport=1365x768, persist localStorage via storage_state.json or profile dirs, and inspect undetectable signals like webdriver=false.",[],"Y9iC3gaig6qKNxPwyF1kKVZnI6KfFfGW8VsDdCZTcug",{"id":7560,"title":7561,"ai":7562,"body":7567,"categories":7595,"created_at":46,"date_modified":46,"description":39,"extension":47,"faq":46,"featured":48,"kicker_label":46,"meta":7596,"navigation":50,"path":7597,"published_at":7598,"question":46,"scraped_at":46,"seo":7599,"sitemap":7600,"source_id":7601,"source_name":7602,"source_type":57,"source_url":58,"stem":7603,"tags":7604,"thumbnail_url":46,"tldr":7606,"tweet":46,"unknown_tags":7607,"__hash__":7608},"summaries\u002Fsummaries\u002Fgenerate-videos-by-slerp-walking-stable-diffusion-summary.md","Generate Videos by Slerp-Walking Stable Diffusion Latents",{"provider":7,"model":8,"input_tokens":7563,"output_tokens":7564,"processing_time_ms":7565,"cost_usd":7566},10775,1430,16123,0.00284735,{"type":14,"value":7568,"toc":7590},[7569,7573,7576,7580,7583,7587],[17,7570,7572],{"id":7571},"latent-space-walking-creates-hypnotic-videos","Latent Space Walking Creates Hypnotic Videos",[22,7574,7575],{},"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.",[17,7577,7579],{"id":7578},"custom-diffuse-handles-guidance-and-schedulers","Custom Diffuse Handles Guidance and Schedulers",[22,7581,7582],{},"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.",[17,7584,7586],{"id":7585},"setup-params-and-optimizations","Setup, Params, and Optimizations",[22,7588,7589],{},"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":39,"searchDepth":40,"depth":40,"links":7591},[7592,7593,7594],{"id":7571,"depth":40,"text":7572},{"id":7578,"depth":40,"text":7579},{"id":7585,"depth":40,"text":7586},[95],{},"\u002Fsummaries\u002Fgenerate-videos-by-slerp-walking-stable-diffusion-summary","2026-04-08 21:21:20",{"title":7561,"description":39},{"loc":7597},"9fd1fce56d7f77a1","Andrej Karpathy Gists","summaries\u002Fgenerate-videos-by-slerp-walking-stable-diffusion-summary",[61,62,7605],"machine-learning","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"]