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絞り込み結果

35 件

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トピック検索拡張生成（RAG）長さ30 分以上人数1 人

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

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

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

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

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

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

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

Cognitive Revolution "How AI Changes Everything"· 2024年4月3日ポッドキャストThe Right Size of an AI Task Is Whatever You Can Checkホスト Nathan LabenzElicit founders Andreas Stuhlmüller and Jungwon Byun walk through how a twelve-person research assistant cut summary hallucinations from 1.5 to 0.5, ships about every week and a half, and treats task decomposition as the way to spend more compute without a black box.RAG とナレッジ検索拡張生成（RAG）Search & retrieval+3

Cognitive Revolution "How AI Changes Everything"· 2024年3月14日ポッドキャストTwelve Hours After a GPT-4 Demo, He Turned a Decade-Old Legal Startup Aroundホスト Nathan LabenzPablo Arredondo, co-founder of CaseText and now VP of CoCounsel at Thomson Reuters, traces legal research from 19th-century citators to a retrieval-anchored GPT-4 product that law firms treat more like a colleague than a search box.企業と戦略検索拡張生成（RAG）評価（Evals）+3

Cognitive Revolution "How AI Changes Everything"· 2024年3月5日ポッドキャストGoogle Gives You 33 Million Results. Exa Wants 54.ホスト Nathan LabenzWill Bryk, CEO of Exa, tells Nathan Labenz why search and research are different jobs, and why an AI librarian for the web has to be neural from the first filter.RAG とナレッジSearch & retrieval検索拡張生成（RAG）+3

Cognitive Revolution "How AI Changes Everything"· 2024年2月29日ポッドキャストHis 2018 Prompting Paper Was Rejected. His Search API Now Beats Googleホスト Nathan LabenzRichard Socher traces You.com from a rejected unified NLP model to an LLM-native web index, three assistant modes, and a very low P(doom).プロダクトと UX検索拡張生成（RAG）Search & retrieval+3

Cognitive Revolution "How AI Changes Everything"· 2024年1月18日ポッドキャストWhen GPT-4 Writes SQL, Four Tables Is the Breaking Pointホスト Nathan LabenzJuan Sequeda on why a knowledge graph is the accurate, explainable brain that foundation models do not have.RAG とナレッジKnowledge graphs検索拡張生成（RAG）+3

Cognitive Revolution "How AI Changes Everything"· 2024年1月12日ポッドキャストTwenty-Eight Days After GPT-4, an AI Designed and Ran a Chemistry Experimentホスト Nathan LabenzGabe Gomes and his Carnegie Mellon students built Coscientist, a language-model agent that plans, codes, and executes real experiments on a remote cloud lab.エージェントAI for scienceエージェント工学+3

Cognitive Revolution "How AI Changes Everything"· 2023年10月31日ポッドキャストThe Historian Who Taught GPT-3.5 to Beat GPT-4ホスト Nathan LabenzMark Humphries on a kilometer of unread paper, fur-trade jargon that embeddings cannot see, and why cheap processing will force history to be rewritten.RAG とナレッジ検索拡張生成（RAG）ファインチューニング+3

Cognitive Revolution "How AI Changes Everything"· 2023年10月24日ポッドキャストMost of this data has never been in a database: Chroma's wartime CTO on RAGホスト Nathan LabenzAnton Troynikov returns to The Cognitive Revolution to argue that retrieval quality is mostly the embedding, that Chroma should own the RAG loop, and that GPT still fails a basic Game of Life test of reasoning.RAG とナレッジ検索拡張生成（RAG）Embeddings+3

Cognitive Revolution "How AI Changes Everything"· 2023年10月18日ポッドキャスト1,000 H100s Take 115 Days; 22,000 Take Fiveホスト Nathan LabenzNathan Labenz and Trey Kollmer walk through cluster math that turns GPT-4-scale training into a weekly experiment, then four papers on search-augmented models, recursive code improvers, spatial maps inside Llama 2, and what networks do when they have no idea.モデルと学習AI researchModel Interpretability+3

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