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1:23:09EN
Cognitive Revolution "How AI Changes Everything"· 3 abr 2024PódcastThe Right Size of an AI Task Is Whatever You Can CheckPresenta: 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 y conocimientoGeneración aumentada por recuperaciónSearch & retrieval+3
27:32EN
No Priors: AI, Machine Learning, Tech, & Startups· 28 mar 2024Pódcast · 2 vocesFrom a side project to 700 integrations: Harrison Chase on what still blocks agentsPresenta: 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.AgentesIngeniería de agentesAgent memory+3
1:28:37EN
Cognitive Revolution "How AI Changes Everything"· 14 mar 2024PódcastTwelve Hours After a GPT-4 Demo, He Turned a Decade-Old Legal Startup AroundPresenta: 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.Empresa y estrategiaGeneración aumentada por recuperaciónEvaluaciones+3
42:14EN
No Priors: AI, Machine Learning, Tech, & Startups· 7 mar 2024Pódcast · 2 vocesMeta’s $197 Billion Day Was a Partial Answer to AI’s $200 Billion QuestionPresenta: 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.Empresa y estrategiaAI StrategyIA empresarial+3
1:06:54EN
Cognitive Revolution "How AI Changes Everything"· 5 mar 2024PódcastGoogle Gives You 33 Million Results. Exa Wants 54.Presenta: 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 y conocimientoSearch & retrievalGeneración aumentada por recuperación+3
1:32:19EN
Cognitive Revolution "How AI Changes Everything"· 29 feb 2024PódcastHis 2018 Prompting Paper Was Rejected. His Search API Now Beats GooglePresenta: 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).Producto y UXGeneración aumentada por recuperaciónSearch & retrieval+3
31:28EN
No Priors: AI, Machine Learning, Tech, & Startups· 22 feb 2024Pódcast · 2 vocesBolt Memory onto GPT-4 and Cut Hallucinations by up to 50%Presenta: 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 y conocimientoGeneración aumentada por recuperaciónVector search+3
42:07EN
No Priors: AI, Machine Learning, Tech, & Startups· 15 feb 2024Pódcast · 2 vocesNotion’s Ivan Zhao: RAG Will Make Organizing OptionalPresenta: 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 y conocimientoGeneración aumentada por recuperaciónEmbeddings+3
46:36EN
No Priors: AI, Machine Learning, Tech, & Startups· 18 ene 2024Pódcast · 2 vocesAfter a decade of code search, Sourcegraph’s CTO says the coding-AI fight is outside the modelPresenta: 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.Agentes de programaciónGeneración aumentada por recuperaciónIngeniería de contexto+3
1:53:08EN
Cognitive Revolution "How AI Changes Everything"· 18 ene 2024PódcastWhen GPT-4 Writes SQL, Four Tables Is the Breaking PointPresenta: Nathan LabenzJuan Sequeda on why a knowledge graph is the accurate, explainable brain that foundation models do not have.RAG y conocimientoKnowledge graphsGeneración aumentada por recuperación+3
1:50:57EN
Cognitive Revolution "How AI Changes Everything"· 12 ene 2024PódcastTwenty-Eight Days After GPT-4, an AI Designed and Ran a Chemistry ExperimentPresenta: 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.AgentesAI for scienceIngeniería de agentes+3
27:14EN
No Priors: AI, Machine Learning, Tech, & Startups· 7 dic 2023Pódcast · 2 vocesSeven People Did the Work of 700. Salesforce's AI Chief Says Enterprise AI Is Still in the Second InningPresenta: 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.Empresa y estrategiaIA empresarialAI Strategy+3
1:32:40EN
Cognitive Revolution "How AI Changes Everything"· 31 oct 2023PódcastThe Historian Who Taught GPT-3.5 to Beat GPT-4Presenta: 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 y conocimientoGeneración aumentada por recuperaciónAjuste fino+3
1:26:30EN
Cognitive Revolution "How AI Changes Everything"· 24 oct 2023PódcastMost of this data has never been in a database: Chroma's wartime CTO on RAGPresenta: 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 y conocimientoGeneración aumentada por recuperaciónEmbeddings+3
1:19:52EN
Cognitive Revolution "How AI Changes Everything"· 18 oct 2023Pódcast1,000 H100s Take 115 Days; 22,000 Take FivePresenta: 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.Modelos y entrenamientoAI researchModel Interpretability+3
1:23:10EN
Cognitive Revolution "How AI Changes Everything"· 19 sept 2023PódcastLuxury Purses Under $500 Beat a Bank's Fraud ModelPresenta: 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.SeguridadAI securityPrompt injection+3
1:40:44EN
Cognitive Revolution "How AI Changes Everything"· 19 jul 2023PódcastGive the Model Time, Memory, and Tools: Nathan Labenz’s 2023 Field Guide to Using GPT-4Presenta: Nathan LabenzPart two of the AI Scouting Report walks from H100 clusters and RLHF through chain-of-thought, retrieval, agents, and mixture-of-experts.AgentesGeneración aumentada por recuperaciónPrompting & in-context learning+3
37:18EN
No Priors: AI, Machine Learning, Tech, & Startups· 4 may 2023Pódcast · 2 vocesUse Retrieval for a Wi-Fi Password. Use Experts for a Company's Private Language.Presenta: 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 y conocimientoGeneración aumentada por recuperaciónAjuste fino+3
1:56:16EN
Cognitive Revolution "How AI Changes Everything"· 6 abr 2023PódcastThey Used Humans as Stand-In AIs. Now 250,000 People Run Elicit.Presenta: 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.RAG y conocimientoIngeniería de agentesEvaluaciones+3
35:36EN
No Priors: AI, Machine Learning, Tech, & Startups· 16 mar 2023Pódcast · 2 vocesFeatured snippets stalled at 7%. A Google veteran used language models to hit 70%Presenta: 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 y conocimientoGeneración aumentada por recuperaciónSearch & retrieval+3
1:44:19EN
Cognitive Revolution "How AI Changes Everything"· 14 mar 2023PódcastTen People Versus Google’s $282 Billion Search MachinePresenta: 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.Producto y UXAI startups & small teamsProduct Strategy+3
1:26:20EN
Cognitive Revolution "How AI Changes Everything"· 2 mar 2023PódcastForty Dollars to Index Joe Rogan: Chroma, Shovels, and the Wright Flyer Era of MLPresenta: 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.RAG y conocimientoGeneración aumentada por recuperaciónEmbeddings+3
2:24:31EN
Lex Fridman· 11 oct 2019Pódcast · 2 vocesWatson Won Jeopardy Without Understanding. Ferrucci Wants AI That Can Explain ItselfInvitado: David Ferrucci · Presenta: 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 y conocimientoGeneración aumentada por recuperaciónAI research+3
1:22:36EN
Lenny's PodcastPódcast · 2 vocesStop Chasing AI News: Chip Huyen on What Actually Makes AI Products BetterInvitado: Chip Huyen · Presenta: 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.Producto y UXAjuste finoGeneración aumentada por recuperación+3
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