最近更新されたチャンネル

選ぶとそのチャンネルだけを表示すべてのチャンネル →

絞り込み結果

4 件
並び順
44:52EN
Sequoia Capital· 2026年6月24日ポッドキャストAn 80GB Wikipedia Cache Versus a 100GB Model That Holds the InternetEngram’s founders argue that stuffing a company into the context window is the expensive kind of memory—and that baking it into the weights can cut token use by two orders of magnitude.RAG とナレッジContinual learningファインチューニング+3
50:00EN
Sequoia Capital· 2025年9月2日ポッドキャストCrosby Bills by the Document, Not the Hour, and Turns Contracts Around in Under an HourThe founders of an AI-native law firm explain why they became lawyers with engineers at the next desk instead of shipping legal software, and how deal velocity became the product.企業と戦略ファインチューニングコンテキストエンジニアリング+3
47:07EN
Sequoia Capital· 2025年7月8日ポッドキャストGoodfire’s Eric Ho thinks we will decode neural nets by 2028On Sequoia’s Training Data, the interpretability founder argues that sparse autoencoders, model editing, and a third-party lab are how AI stops being grown from data and starts being designed.評価とオブザーバビリティModel Interpretability安全性とガバナンス+3
39:18EN
Sequoia Capital· 2024年8月13日ポッドキャストOpen and Closed Will Tie at the Same Size: PyTorch's Former Lead on Fast InferenceA six-month library swap at Meta became a five-year rebuild. Lin Qiao wants the rest of the industry to get that stack in five weeks.インフラとデプロイInferenceファインチューニング+3