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20VC with Harry Stebbings今日AI Engineer今日硅谷101昨日MBMatthew Berman一昨日PragerU一昨日Y Combinator一昨日SemiAnalysis3 日前a16z3 日前GOTO Conferences3 日前The Builders4 日前

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3 件
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トピックDistributed training & inference長さ30 分以上人数2 人
1:34:36EN
JSJane Street· 2026年6月1日Nate Foster: Treating the Network as a ProgramYaron Minsky, Nate Foster · Jane StreetFrom programmable switches to BGP, a programming-languages researcher explains how higher-level policies and formal models can make networks easier to change.インフラとデプロイProgramming LanguagesSoftware engineering+2
42:42EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年8月22日ポッドキャスト · 2 人Ethereum Once Held Two Thousand GPT-3 Clusters of GPUsホスト Sarah Guo, Elad GilFoundry CEO Jared Quincy Davis on idle H100s, why today's AI cloud is still colocation, and how compound systems move work off giant interconnected clusters.インフラとデプロイAI cost & performanceDistributed training & inference+3
53:37EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年3月9日ポッドキャスト · 2 人30 models, 42 scenarios, 7 metrics: Percy Liang's public checkup for language modelsホスト Sarah Guo, Elad GilA PubMed-only model once led the U.S. medical licensing exam — until a system roughly 200 times larger overtook it.評価とオブザーバビリティAI researchFoundation Models+3