최근 업데이트된 채널

선택하면 해당 채널만 표시모든 채널 보기 →

필터 결과

58개
정렬
슬라이드 9장20:58EN
AI Engineer· 2026년 10월 25일Vinoo Ganesh on Making Financial AI Cite Every NumberVinoo Ganesh · KeplerKepler CEO Vinoo Ganesh explains why financial AI should retrieve and cite figures while deterministic software handles the math. His design makes traceability, retrieval quality, and tenant security part of the answer itself.금융 AI엔터프라이즈 AI검색 증강 생성(RAG)+2
1:35:29EN
Cognitive Revolution "How AI Changes Everything"· 2026년 9월 1일팟캐스트Uber Burned a Year of Tokens in 13 Weeks. Retrieval Is How Agents Win진행자 Nathan LabenzMongoDB Field CTO of AI Pete Johnson argues that agent performance now hinges on retrieval quality, not on stuffing million-token context windows.RAG와 지식검색 증강 생성(RAG)Agent memory+3
44:52EN
Sequoia Capital· 2026년 6월 24일팟캐스트An 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.RAG와 지식Continual learning파인튜닝+3
2:38:48EN
Cognitive Revolution "How AI Changes Everything"· 2026년 4월 26일팟캐스트A thousand searches for five cents, and a high score that did not require cheating진행자 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.기업과 전략검색 증강 생성(RAG)Search & retrieval+3
1:40:51EN
Cognitive Revolution "How AI Changes Everything"· 2026년 1월 14일팟캐스트Reasoning Models Just Made the Other 80–90% of Enterprise Data Usable진행자 Nathan LabenzSnowflake VP of AI Baris Gultekin on text-to-SQL, RAG, agent design, and why inference has to run next to governed data.기업과 전략검색 증강 생성(RAG)엔터프라이즈 AI+3
1:41:34EN
Cognitive Revolution "How AI Changes Everything"· 2025년 11월 20일팟캐스트Chat Is the Universal Interface—and Often the Worst One진행자 Nathan LabenzAtlassian's head of AI on fighting slop with taste, knowledge, and workflow, and why chat is a terminal, not a product.기업과 전략AI interface designProduct Strategy+3
1:55:12EN
Cognitive Revolution "How AI Changes Everything"· 2025년 11월 8일팟캐스트28,000 Documents, a 3B Model, 22 People: The Technical Ledger of Catholic AI진행자 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.모델과 학습검색 증강 생성(RAG)파인튜닝+3
1:37:25EN
Cognitive Revolution "How AI Changes Everything"· 2025년 10월 5일팟캐스트Fin Climbed From 35% to 65% Resolution. Intercom Says the Models Only Did a Few Points진행자 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.에이전트에이전트 엔지니어링검색 증강 생성(RAG)+3
44:49EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025년 9월 5일팟캐스트 · 2명How OpenEvidence Became the Clinical OS for 40% of U.S. Doctors진행자 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.RAG와 지식검색 증강 생성(RAG)Search & retrieval+3
1:25:12EN
Cognitive Revolution "How AI Changes Everything"· 2025년 3월 27일팟캐스트He Hasn’t Typed a Line of Code in Months. Here’s How Augment Reads a Million-Line Repo진행자 Nathan LabenzGuy Gur-Ari, co-founder and chief scientist at Augment, tells Nathan Labenz how coding agents actually work inside messy enterprise codebases.코딩 에이전트컨텍스트 엔지니어링검색 증강 생성(RAG)+3
44:26EN
Sequoia Capital· 2025년 2월 13일팟캐스트An 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.RAG와 지식Vector search검색 증강 생성(RAG)+3
56:07EN
Cognitive Revolution "How AI Changes Everything"· 2025년 1월 29일팟캐스트Box Holds 100 Billion Files. Its CEO Says Enterprises Only Move for a 10x진행자 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.기업과 전략엔터프라이즈 AIAI Strategy+3
1:29:00EN
Cognitive Revolution "How AI Changes Everything"· 2024년 12월 11일팟캐스트14,000 people applied. Thirty-three got in. The jobs are at Homeland Security.진행자 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.기업과 전략엔터프라이즈 AIAI Strategy+3
1:55:53EN
Cognitive Revolution "How AI Changes Everything"· 2024년 12월 5일팟캐스트AI Beats Humans at Reading Papers. It Still Cannot Count Atoms.진행자 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.에이전트AI for science검색 증강 생성(RAG)+3
1:03:07EN
Sequoia Capital· 2024년 11월 26일팟캐스트Reasoning 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.에이전트에이전트 엔지니어링엔터프라이즈 AI+3
44:16EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024년 11월 21일팟캐스트 · 2명Cohere's Aidan Gomez: The Model Curve Is Flattening, and $20 Million Now Buys GPT-4진행자 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.기업과 전략엔터프라이즈 AIAI Strategy+3
55:16EN
Cognitive Revolution "How AI Changes Everything"· 2024년 10월 31일팟캐스트Gemini’s API Grew 14× in Six Months. Google’s PMs Explain the Catch-Up.진행자 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.제품과 UX검색 증강 생성(RAG)AI cost & performance+3
44:48EN
Sequoia Capital· 2024년 10월 29일팟캐스트Enterprise 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.기업과 전략검색 증강 생성(RAG)Search & retrieval+3
38:28EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024년 10월 8일팟캐스트 · 2명Half of Production AI Is RAG. Fine-Tuning Almost Disappeared.진행자 Sarah Guo, Elad GilBraintrust CEO Ankur Goyal tells No Priors what Notion, Zapier, and Vercel actually ship — and which hyped techniques they quietly dropped.평가와 관측 가능성평가(Evals)검색 증강 생성(RAG)+3
2:03:55EN
Cognitive Revolution "How AI Changes Everything"· 2024년 9월 18일팟캐스트The More You Constrain an Agent, the More You Can Trust It진행자 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.에이전트에이전트 엔지니어링Workflow automation+3
1:51:00EN
Cognitive Revolution "How AI Changes Everything"· 2024년 8월 21일팟캐스트Start With Ten Gold Examples: A Three-Step Playbook for AI Automation진행자 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.기업과 전략Workflow automationPrompting & in-context learning+3
1:21:53EN
Cognitive Revolution "How AI Changes Everything"· 2024년 7월 19일팟캐스트HippoRAG Matches Iterative Retrieval at One-Tenth the Online Cost진행자 Nathan LabenzA hippocampus-inspired knowledge graph lets multi-hop questions skip the brute-force document crawl.RAG와 지식검색 증강 생성(RAG)Knowledge graphs+3
3:02:16EN
Lex Fridman· 2024년 6월 19일팟캐스트 · 2명The journey begins after the answer: Perplexity CEO Aravind Srinivas on search and curiosity게스트 Aravind Srinivas · 진행자 Lex FridmanIn 2022, Perplexity's first hire asked about health insurance — and four PhDs could not get a clear answer from Google.RAG와 지식Product StrategyAI interface design+3
36:20EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024년 6월 6일팟캐스트 · 2명A Hundred Million Tokens in Context Would Cost $10 Million. Tengyu Ma Runs the RAG Math진행자 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.RAG와 지식검색 증강 생성(RAG)Embeddings+3
더 보기58개 중 24개 표시