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11 件
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44:49EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年9月5日ポッドキャスト · 2 人How OpenEvidence Became the Clinical OS for 40% of U.S. Doctorsホスト Sarah Guo, Elad GilFounder Daniel Nadler tells No Priors how a free search tool for physicians, not an answer engine for patients, took high-stakes clinical knowledge in 18 months.RAG とナレッジ検索拡張生成(RAG)Search & retrieval+3
31:34EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年5月15日ポッドキャスト · 2 人One Company Now Holds as Many Documents as the Entire Early Webホスト Sarah Guo, Elad GilGlean CEO Arvind Jain tells No Priors why enterprise search was a graveyard, how transformers finally made it work, and why a product that searches too well can be too dangerous to sell.RAG とナレッジエンタープライズ AISearch & retrieval+3
3:02:16EN
Lex Fridman· 2024年6月19日ポッドキャスト · 2 人The journey begins after the answer: Perplexity CEO Aravind Srinivas on search and curiosityゲスト Aravind Srinivas · ホスト Lex FridmanIn 2022, Perplexity's first hire asked about health insurance — and four PhDs could not get a clear answer from Google.RAG とナレッジProduct StrategyAI interface design+3
36:20EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年6月6日ポッドキャスト · 2 人A Hundred Million Tokens in Context Would Cost $10 Million. Tengyu Ma Runs the RAG Mathホスト Sarah Guo, Elad GilThe Stanford professor and Voyage AI founder argues that retrieval, not a giant context window, is how enterprises should manage private knowledge.RAG とナレッジ検索拡張生成(RAG)Embeddings+3
31:28EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年2月22日ポッドキャスト · 2 人Bolt Memory onto GPT-4 and Cut Hallucinations by up to 50%ホスト Sarah Guo, Elad GilPinecone CEO Edo Liberty tells Sarah Guo and Elad Gil how RAG, serverless vectors, and keeping knowledge outside the model make LLMs more reliable.RAG とナレッジ検索拡張生成(RAG)Vector search+3
42:07EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年2月15日ポッドキャスト · 2 人Notion’s Ivan Zhao: RAG Will Make Organizing Optionalホスト Sarah Guo, Elad GilThe Notion CEO tells No Priors why he bet the company on GPT-4, why embeddings matter as much as agents, and why software is entering a bundling cycle.RAG とナレッジ検索拡張生成(RAG)Embeddings+3
37:18EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年5月4日ポッドキャスト · 2 人Use Retrieval for a Wi-Fi Password. Use Experts for a Company's Private Language.ホスト Sarah Guo, Elad GilGoogle Brain's Kelvin Guu on REALM, FLAN, model surgery, and why personalizing large models is still an unsolved interface problem.RAG とナレッジ検索拡張生成(RAG)ファインチューニング+3
35:36EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年3月16日ポッドキャスト · 2 人Featured snippets stalled at 7%. A Google veteran used language models to hit 70%ホスト Sarah Guo, Elad GilNeeva founder Sridhar Ramaswamy tells No Priors why answers always beat links, why privacy never sold the switch, and why most queries do not need the biggest model.RAG とナレッジ検索拡張生成(RAG)Search & retrieval+3
2:52:56EN
Lex Fridman· 2021年9月15日ポッドキャスト · 2 人Douglas Lenat's 37-Year Bet That Common Sense Can Be Written Downゲスト Douglas Lenat · ホスト Lex FridmanSince 1984, Cyc has been encoding the unstated rules of the world so machines can reason instead of merely pattern-match.RAG とナレッジAI HistoryAGI(汎用人工知能)+1
20:34EN
Lex Fridman· 2019年10月26日ポッドキャスト · 2 人Teaching Machines the Frameworks Humans Take for Grantedゲスト David Ferrucci · ホスト Lex FridmanDavid Ferrucci explains why AI needs shared interpretive frameworks, not just data and pattern matching, to reason and communicate like humans.RAG とナレッジAI researchAGI(汎用人工知能)+3
2:24:31EN
Lex Fridman· 2019年10月11日ポッドキャスト · 2 人Watson Won Jeopardy Without Understanding. Ferrucci Wants AI That Can Explain Itselfゲスト David Ferrucci · ホスト Lex FridmanLex Fridman talks with David Ferrucci about IBM Watson, why prediction is not understanding, and why high-stakes decisions need machines that can reason with us.RAG とナレッジ検索拡張生成(RAG)AI research+3