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6 件
並び順
1:36:57EN
Unsupervised Learning: With Jacob EffronポッドキャストDo the Dumb Thing First: A CTO's Playbook for Building an AI Coding Assistantホスト Jacob EffronSourcegraph CTO Beyang Liu on which AI coding features actually earn daily use, how new models get shipped and evaluated, and why retrieval is still a search problem.コーディングエージェント評価(Evals)検索拡張生成(RAG)+3
57:25EN
Unsupervised Learning: With Jacob EffronポッドキャストFrom RAG to Reasoning: Why the Future of AI Is a System, Not a Modelホスト Jacob EffronDouwe Kiela explains what OpenAI's o1 reveals about test-time compute, why enterprise AI must be specialized, and where post-training and evaluations are heading.モデルと学習Reasoning & test-time computePost-training+3
51:55EN
Unsupervised Learning: With Jacob EffronポッドキャストThe Search Engine Under AI Apps: Why Bigger Context Windows Aren't Enoughホスト Jacob EffronTurbopuffer CEO Simon on object-storage databases, vector-search trade-offs, and the AI features that will become SaaS table stakes.インフラとデプロイVector search検索拡張生成(RAG)+3
46:48EN
Unsupervised Learning: With Jacob EffronポッドキャストSnowflake's AI Stack: Small Models, the Text-to-SQL Iceberg, and Why Governance Comes Firstホスト Jacob EffronSnowflake head of AI Baris Gekken explains how Arctic and Cortex were built, where enterprise AI actually works today, and why precision, governance and evaluation matter more than raw model capability.企業と戦略インフラとデプロイエンタープライズ AI+3
1:06:22EN
Unsupervised Learning: With Jacob EffronポッドキャストPerplexity's Bet: Search Becomes Answers, and Answers Become a Businessホスト Jacob EffronThe Perplexity CEO explains how a consumer AI search product is built, sequenced, and defended against Google.RAG とナレッジ検索拡張生成(RAG)Search & retrieval+3
1:01:13EN
Unsupervised Learning: With Jacob EffronポッドキャストPinecone's Vector Database Bet: Scaling Through the ChatGPT Tsunamiホスト Jacob EffronEdo Liberty explains how Pinecone scaled through the generative AI boom, why vector search is more than a database add-on, and where he sees the next AI infrastructure shifts.インフラとデプロイVector search検索拡張生成(RAG)+3