絞り込み結果 · YoutuBlog

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 →

AI Engineer今日

硅谷101昨日

PragerU一昨日

Y Combinator一昨日

SemiAnalysis3 日前

GOTO Conferences3 日前

Latent Space4 日前

Dwarkesh Patel4 日前

Adrian Twarog5 日前

絞り込み結果

54 件

並び順

トピック検索拡張生成（RAG）言語英語長さ30 分以上

Cognitive Revolution "How AI Changes Everything"· 2026年9月1日ポッドキャストUber Burned a Year of Tokens in 13 Weeks. Retrieval Is How Agents Winホスト Nathan LabenzMongoDB Field CTO of AI Pete Johnson argues that agent performance now hinges on retrieval quality, not on stuffing million-token context windows.RAG とナレッジ検索拡張生成（RAG）Agent memory+3

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

Cognitive Revolution "How AI Changes Everything"· 2026年4月26日ポッドキャストA thousand searches for five cents, and a high score that did not require cheatingホスト Nathan LabenzOn a Cognitive Revolution morning show, Ceramic’s Anna Patterson collides cheap search with GPT-5.5’s clean Vending-Bench run, Zvi’s case for model welfare, and analog chips that cut matrix-multiply energy about thirtyfold.企業と戦略検索拡張生成（RAG）Search & retrieval+3

Cognitive Revolution "How AI Changes Everything"· 2026年1月14日ポッドキャストReasoning Models Just Made the Other 80–90% of Enterprise Data Usableホスト Nathan LabenzSnowflake VP of AI Baris Gultekin on text-to-SQL, RAG, agent design, and why inference has to run next to governed data.企業と戦略検索拡張生成（RAG）エンタープライズ AI+3

Cognitive Revolution "How AI Changes Everything"· 2025年11月20日ポッドキャストChat Is the Universal Interface—and Often the Worst Oneホスト Nathan LabenzAtlassian's head of AI on fighting slop with taste, knowledge, and workflow, and why chat is a terminal, not a product.企業と戦略AI interface designProduct Strategy+3

Cognitive Revolution "How AI Changes Everything"· 2025年11月8日ポッドキャスト28,000 Documents, a 3B Model, 22 People: The Technical Ledger of Catholic AIホスト Nathan LabenzLongbeard CEO Matthew Harvey Sanders tells The Cognitive Revolution how a mission-driven team is aligning models to the Catholic magisterium — and why fine-tuning was not enough.モデルと学習検索拡張生成（RAG）ファインチューニング+3

Cognitive Revolution "How AI Changes Everything"· 2025年10月5日ポッドキャストFin Climbed From 35% to 65% Resolution. Intercom Says the Models Only Did a Few Pointsホスト Nathan LabenzEoghan McCabe and Fergal Reid on production A/B tests, 99-cent outcome pricing, and why GPT-4 was already smart enough for most customer service.エージェントエージェント工学検索拡張生成（RAG）+3

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

Cognitive Revolution "How AI Changes Everything"· 2025年3月27日ポッドキャストHe Hasn’t Typed a Line of Code in Months. Here’s How Augment Reads a Million-Line Repoホスト Nathan LabenzGuy Gur-Ari, co-founder and chief scientist at Augment, tells Nathan Labenz how coding agents actually work inside messy enterprise codebases.コーディングエージェントコンテキストエンジニアリング検索拡張生成（RAG）+3

Sequoia Capital· 2025年2月13日ポッドキャストAn AI Application Is Still an ApplicationMongoDB's Sahir Azam tells Sequoia why vector search is a new primitive for unstructured data, not a replacement for transactions, and why retrieval quality is the last mile that gets AI into conservative enterprises.RAG とナレッジVector search検索拡張生成（RAG）+3

Cognitive Revolution "How AI Changes Everything"· 2025年1月29日ポッドキャストBox Holds 100 Billion Files. Its CEO Says Enterprises Only Move for a 10xホスト Nathan LabenzAaron Levie tells Nathan Labenz why AI excitement in the enterprise already outruns the early cloud — and why 98% reliability, seat-based SaaS, and incremental savings still will not ship.企業と戦略エンタープライズ AIAI Strategy+3

Cognitive Revolution "How AI Changes Everything"· 2024年12月11日ポッドキャスト14,000 people applied. Thirty-three got in. The jobs are at Homeland Security.ホスト Nathan LabenzMichael Boyce, director of the DHS AI Corps, tells Nathan Labenz how the largest civilian AI team in the U.S. government is being built — and what it is already shipping.企業と戦略エンタープライズ AIAI Strategy+3

Cognitive Revolution "How AI Changes Everything"· 2024年12月5日ポッドキャストAI Beats Humans at Reading Papers. It Still Cannot Count Atoms.ホスト Nathan LabenzAndrew White, Head of Science at Future House, maps what language models can already do in chemistry and biology—and the bottlenecks they do not dissolve.エージェントAI for science検索拡張生成（RAG）+3

Sequoia Capital· 2024年11月26日ポッドキャストReasoning Hasn't Budged in Two Years. Dust Still Saved a Customer 8,000 HoursDust co-founders Gabriel Hubert and Stanislas Polu on multi-model agents, refusing to buy GPUs before product-market fit, and the jump from calculator tools to stochastic ones.エージェントエージェント工学エンタープライズ AI+3

No Priors: AI, Machine Learning, Tech, & Startups· 2024年11月21日ポッドキャスト · 2 人Cohere's Aidan Gomez: The Model Curve Is Flattening, and $20 Million Now Buys GPT-4ホスト Sarah Guo, Elad GilThe Attention Is All You Need co-author tells No Priors why enterprises should stop waiting for the next model and start putting today's models into production.企業と戦略エンタープライズ AIAI Strategy+3

Cognitive Revolution "How AI Changes Everything"· 2024年10月31日ポッドキャストGemini’s API Grew 14× in Six Months. Google’s PMs Explain the Catch-Up.ホスト Nathan LabenzLogan Kilpatrick and Shrestha Basu Mallick walk through search grounding, Gemini Flash’s price-latency quadrant, and why a near-tied leaderboard still leaves Google third in most developers’ queues.プロダクトと UX検索拡張生成（RAG）AI cost & performance+3

Sequoia Capital· 2024年10月29日ポッドキャストEnterprise Google Failed for Twenty Years. A Search Veteran Finally Made It Work.Glean CEO Arvind Jain on why company search is harder than the public web, why RAG lives or dies on retrieval, and what work looks like when every employee has an AI assistant.企業と戦略検索拡張生成（RAG）Search & retrieval+3

No Priors: AI, Machine Learning, Tech, & Startups· 2024年10月8日ポッドキャスト · 2 人Half of Production AI Is RAG. Fine-Tuning Almost Disappeared.ホスト Sarah Guo, Elad GilBraintrust CEO Ankur Goyal tells No Priors what Notion, Zapier, and Vercel actually ship — and which hyped techniques they quietly dropped.評価とオブザーバビリティ評価（Evals）検索拡張生成（RAG）+3

Cognitive Revolution "How AI Changes Everything"· 2024年9月18日ポッドキャストThe More You Constrain an Agent, the More You Can Trust Itホスト Nathan LabenzAgent.ai engineering lead Andrei Oprisan tells Nathan Labenz why narrow, highly prescribed workflows beat open-ended autonomy — and how a 12-person team shipped a free agent network past 40,000 users in a few months.エージェントエージェント工学Workflow automation+3

Cognitive Revolution "How AI Changes Everything"· 2024年8月21日ポッドキャストStart With Ten Gold Examples: A Three-Step Playbook for AI Automationホスト Nathan LabenzThe day after OpenAI opened GPT-4o fine-tuning, Nathan Labenz unpacks a three-year method for choosing work, extracting tacit judgment, and raising model performance.企業と戦略Workflow automationPrompting & in-context learning+3

Cognitive Revolution "How AI Changes Everything"· 2024年7月19日ポッドキャストHippoRAG Matches Iterative Retrieval at One-Tenth the Online Costホスト Nathan LabenzA hippocampus-inspired knowledge graph lets multi-hop questions skip the brute-force document crawl.RAG とナレッジ検索拡張生成（RAG）Knowledge graphs+3

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

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

Cognitive Revolution "How AI Changes Everything"· 2024年4月8日ポッドキャストThree Million Emails, Ten LLM Calls, Six Models: Shortwave's RAG Playbookホスト Nathan LabenzFirebase founder Andrew Lee walks Nathan Labenz through the retrieval stack that turned a Gmail inbox into a working AI assistant.RAG とナレッジ検索拡張生成（RAG）Vector search+3

もっと見る54 件中 24 件を表示