Canales actualizados recientemente

Elige uno para ver solo ese canalVer todos los canales →

Resultados

15 artículos
Ordenar
12 diapositivas17:56EN
AI Engineer· 25 oct 2026How Bridgewater Keeps Its AI Analyst Inside Permission BoundariesNikhil Benesch, Aaron Linsky · turbopufferAaron Linsky and Nikhil Benesch explain why search over an enterprise vault must honor document permissions without sacrificing recall or speed. Their solution combines vector indexing with native filtering to search hundreds of millions of vectors in roughly 120 milliseconds.IA empresarialPrivacy & data governanceSearch & retrieval+2
44:49EN
No Priors: AI, Machine Learning, Tech, & Startups· 5 sept 2025Pódcast · 2 vocesHow OpenEvidence Became the Clinical OS for 40% of U.S. DoctorsPresenta: 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 y conocimientoGeneración aumentada por recuperaciónSearch & retrieval+3
45:17EN
No Priors: AI, Machine Learning, Tech, & Startups· 7 ago 2025Pódcast · 2 vocesA Click From OpenAI Is 750 Times Harder Than From Google a Decade AgoPresenta: Sarah Guo, Elad GilCloudflare CEO Matthew Prince on Content Independence Day, why traffic is a broken proxy for value, and how to price the holes in the models.Empresa y estrategiaAI StrategyPricing Strategy+3
31:34EN
No Priors: AI, Machine Learning, Tech, & Startups· 15 may 2025Pódcast · 2 vocesOne Company Now Holds as Many Documents as the Entire Early WebPresenta: Sarah Guo, Elad GilGlean CEO Arvind Jain tells No Priors why enterprise search was a graveyard, how transformers finally made it work, and why a product that searches too well can be too dangerous to sell.RAG y conocimientoIA empresarialSearch & retrieval+3
30:46EN
No Priors: AI, Machine Learning, Tech, & Startups· 24 abr 2025Pódcast · 2 vocesDeep Research Turned Web Browsing into a Trainable ProblemPresenta: Sarah Guo, Elad GilOpenAI researcher Isa Fulford explains why a side project on read-only synthesis became an agent, when reinforcement fine-tuning is worth it, and why models will hack the search engine you gave them.AgentesIngeniería de agentesReinforcement Learning+3
3:02:16EN
Lex Fridman· 19 jun 2024Pódcast · 2 vocesThe journey begins after the answer: Perplexity CEO Aravind Srinivas on search and curiosityInvitado: Aravind Srinivas · Presenta: Lex FridmanIn 2022, Perplexity's first hire asked about health insurance — and four PhDs could not get a clear answer from Google.RAG y conocimientoProduct StrategyAI interface design+3
38:48EN
No Priors: AI, Machine Learning, Tech, & Startups· 31 ene 2024Pódcast · 2 vocesShopify Built a Copilot, Not an Autopilot, for Every MerchantPresenta: Sarah Guo, Elad GilShopify VP of Core Product Glen Coates on collapsing duplicate engines, shipping AI that proposes but never commits, and teaching storefront search to understand a sweater.Producto y UXAI Product ManagementProduct Strategy+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
3:11:35EN
Lex Fridman· 21 jun 2023Pódcast · 2 vocesSearch was always a hack: Marc Andreessen on AI, truth, and the next internetInvitado: Marc Andreessen · Presenta: Lex FridmanLex Fridman sits down with the Mosaic co-creator and Andreessen Horowitz founder to ask whether Google Search, the browser, and open-source AI survive the decade.Empresa y estrategiaSearch & retrievalSynthetic data+3
39:10EN
No Priors: AI, Machine Learning, Tech, & Startups· 23 mar 2023Pódcast · 2 vocesNever Cite More Than Five Links: Perplexity's Bet on Answer EnginesPresenta: Sarah Guo, Elad GilFounded in August 2022, Perplexity was barely seven months old when its CEO and CTO sat down with No Priors to explain how an answer engine takes on Google.Producto y UXCompany BuildingAI startups & small teams+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
1:45:58EN
Lex Fridman· 14 dic 2019Pódcast · 2 vocesNine of ten colleagues said far-field speech was impossibleInvitado: Rohit Prasad · Presenta: Lex FridmanRohit Prasad, Amazon’s vice president and head scientist for Alexa, talks with Lex Fridman about conversational AI, the Alexa Prize, trust, and why a 20-minute chat is still years away.AgentesIA de vozAI interface design+3
1:21:38EN
Lenny's PodcastPódcast · 2 vocesSearch Isn't Dying, It's Expanding: Robby Stein on Google's AI Mode and Building Products RelentlesslyInvitado: Robby Stein · Presenta: Lenny RachitskyGoogle Search's VP of Product explains how AI Overviews, Lens and AI Mode fit together, and the product principles he carried from Instagram Stories to Google.Producto y UXSearch & retrievalAI interface design+3
1:11:56EN
Lenny's PodcastPódcast · 2 vocesHow to Get ChatGPT to Recommend Your Product: A Practical Guide to Answer Engine OptimizationInvitado: Ethan Smith · Presenta: Lenny RachitskyGraphite CEO Ethan Smith explains how AEO differs from SEO, which levers move the needle, and how to measure and test what works.Empresa y estrategiaAI in sales & marketingGo-to-Market+3
32:41EN
Lex FridmanPódcast · 2 vocesHow IBM Watson Won Jeopardy: A Moonshot Built on Engineering, Not a BreakthroughInvitado: David Ferrucci · Presenta: Lex FridmanDavid Ferrucci tells Lex Fridman how he talked IBM into the Jeopardy challenge and how his team built Watson's search, scoring and confidence machinery in about four years.Modelos y entrenamientoAI HistorySearch & retrieval+1