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1:23:09EN
Cognitive Revolution "How AI Changes Everything"· 2024년 4월 3일팟캐스트The Right Size of an AI Task Is Whatever You Can Check진행자 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.RAG와 지식검색 증강 생성(RAG)Search & retrieval+3
27:32EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024년 3월 28일팟캐스트 · 2명From a side project to 700 integrations: Harrison Chase on what still blocks agents진행자 Sarah Guo, Elad GilThe LangChain CEO walks through a two-year churn of patterns, and why memory, planning, and few-shot data still matter more than swapping models.에이전트에이전트 엔지니어링Agent memory+3
1:28:37EN
Cognitive Revolution "How AI Changes Everything"· 2024년 3월 14일팟캐스트Twelve Hours After a GPT-4 Demo, He Turned a Decade-Old Legal Startup Around진행자 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.기업과 전략검색 증강 생성(RAG)평가(Evals)+3
42:14EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024년 3월 7일팟캐스트 · 2명Meta’s $197 Billion Day Was a Partial Answer to AI’s $200 Billion Question진행자 Sarah Guo, Elad GilSarah Guo and Elad Gil walk through Gemini, Mistral, NVIDIA’s upgrade cycle, Klarna’s support bot, and why the real AI spend still sits with the hyperscalers.기업과 전략AI Strategy엔터프라이즈 AI+3
1:06:54EN
Cognitive Revolution "How AI Changes Everything"· 2024년 3월 5일팟캐스트Google Gives You 33 Million Results. Exa Wants 54.진행자 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.RAG와 지식Search & retrieval검색 증강 생성(RAG)+3
1:32:19EN
Cognitive Revolution "How AI Changes Everything"· 2024년 2월 29일팟캐스트His 2018 Prompting Paper Was Rejected. His Search API Now Beats Google진행자 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).제품과 UX검색 증강 생성(RAG)Search & retrieval+3
31:28EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024년 2월 22일팟캐스트 · 2명Bolt Memory onto GPT-4 and Cut Hallucinations by up to 50%진행자 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.RAG와 지식검색 증강 생성(RAG)Vector search+3
42:07EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024년 2월 15일팟캐스트 · 2명Notion’s Ivan Zhao: RAG Will Make Organizing Optional진행자 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.RAG와 지식검색 증강 생성(RAG)Embeddings+3
46:36EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024년 1월 18일팟캐스트 · 2명After a decade of code search, Sourcegraph’s CTO says the coding-AI fight is outside the model진행자 Sarah Guo, Elad GilBeyang Liu on Cody, why keyword search still does most of RAG, and why CS fundamentals get more valuable as AI compresses the middleware.코딩 에이전트검색 증강 생성(RAG)컨텍스트 엔지니어링+3
1:53:08EN
Cognitive Revolution "How AI Changes Everything"· 2024년 1월 18일팟캐스트When GPT-4 Writes SQL, Four Tables Is the Breaking Point진행자 Nathan LabenzJuan Sequeda on why a knowledge graph is the accurate, explainable brain that foundation models do not have.RAG와 지식Knowledge graphs검색 증강 생성(RAG)+3
1:50:57EN
Cognitive Revolution "How AI Changes Everything"· 2024년 1월 12일팟캐스트Twenty-Eight Days After GPT-4, an AI Designed and Ran a Chemistry Experiment진행자 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.에이전트AI for science에이전트 엔지니어링+3
27:14EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023년 12월 7일팟캐스트 · 2명Seven People Did the Work of 700. Salesforce's AI Chief Says Enterprise AI Is Still in the Second Inning진행자 Sarah Guo, Elad GilClara Shih tells Sarah Guo and Elad Gil why Salesforce built a shared LLM platform, why data cleanup beats model shopping, and why AI is becoming the enterprise UI.기업과 전략엔터프라이즈 AIAI Strategy+3
1:32:40EN
Cognitive Revolution "How AI Changes Everything"· 2023년 10월 31일팟캐스트The Historian Who Taught GPT-3.5 to Beat GPT-4진행자 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.RAG와 지식검색 증강 생성(RAG)파인튜닝+3
1:26:30EN
Cognitive Revolution "How AI Changes Everything"· 2023년 10월 24일팟캐스트Most of this data has never been in a database: Chroma's wartime CTO on RAG진행자 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.RAG와 지식검색 증강 생성(RAG)Embeddings+3
1:19:52EN
Cognitive Revolution "How AI Changes Everything"· 2023년 10월 18일팟캐스트1,000 H100s Take 115 Days; 22,000 Take Five진행자 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.모델과 학습AI researchModel Interpretability+3
1:23:10EN
Cognitive Revolution "How AI Changes Everything"· 2023년 9월 19일팟캐스트Luxury Purses Under $500 Beat a Bank's Fraud Model진행자 Nathan LabenzArthur.ai CEO Adam Wenchel on boundary attacks, LLM firewalls, and why a model that eats raw text cannot be secured from the inside.보안과 안전AI securityPrompt injection+3
1:40:44EN
Cognitive Revolution "How AI Changes Everything"· 2023년 7월 19일팟캐스트Give the Model Time, Memory, and Tools: Nathan Labenz’s 2023 Field Guide to Using GPT-4진행자 Nathan LabenzPart two of the AI Scouting Report walks from H100 clusters and RLHF through chain-of-thought, retrieval, agents, and mixture-of-experts.에이전트검색 증강 생성(RAG)Prompting & in-context learning+3
37:18EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023년 5월 4일팟캐스트 · 2명Use Retrieval for a Wi-Fi Password. Use Experts for a Company's Private Language.진행자 Sarah Guo, Elad GilGoogle Brain's Kelvin Guu on REALM, FLAN, model surgery, and why personalizing large models is still an unsolved interface problem.RAG와 지식검색 증강 생성(RAG)파인튜닝+3
1:56:16EN
Cognitive Revolution "How AI Changes Everything"· 2023년 4월 6일팟캐스트They Used Humans as Stand-In AIs. Now 250,000 People Run Elicit.진행자 Nathan LabenzOught's founders tell Nathan Labenz why open-ended reasoning has to be decomposed, supervised, and grounded—not scaled until it merely looks persuasive.RAG와 지식에이전트 엔지니어링평가(Evals)+3
35:36EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023년 3월 16일팟캐스트 · 2명Featured snippets stalled at 7%. A Google veteran used language models to hit 70%진행자 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.RAG와 지식검색 증강 생성(RAG)Search & retrieval+3
1:44:19EN
Cognitive Revolution "How AI Changes Everything"· 2023년 3월 14일팟캐스트Ten People Versus Google’s $282 Billion Search Machine진행자 Nathan LabenzPerplexity founder Aravind Srinivas tells Nathan Labenz why citations, speed, and value per minute — not chat bubbles — are how a tiny team competes with Google.제품과 UXAI startups & small teamsProduct Strategy+3
1:26:20EN
Cognitive Revolution "How AI Changes Everything"· 2023년 3월 2일팟캐스트Forty Dollars to Index Joe Rogan: Chroma, Shovels, and the Wright Flyer Era of ML진행자 Nathan LabenzChroma co-founder Anton Troynikov on embeddings as the storage layer for language-model apps, Stable Attribution, and why machine learning is still flying on intuition.RAG와 지식검색 증강 생성(RAG)Embeddings+3
2:24:31EN
Lex Fridman· 2019년 10월 11일팟캐스트 · 2명Watson Won Jeopardy Without Understanding. Ferrucci Wants AI That Can Explain Itself게스트 David Ferrucci · 진행자 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.RAG와 지식검색 증강 생성(RAG)AI research+3
1:22:36EN
Lenny's Podcast팟캐스트 · 2명Stop Chasing AI News: Chip Huyen on What Actually Makes AI Products Better게스트 Chip Huyen · 진행자 Lenny RachitskyAuthor of AI Engineering walks through pre-training, post-training, RL, evals and RAG, then explains what separates companies that get value from AI from those that stall.제품과 UX파인튜닝검색 증강 생성(RAG)+3
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