筛选结果
18 篇排序
44:49EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年9月5日播客 · 2 人对谈How OpenEvidence Became the Clinical OS for 40% of U.S. Doctors主持 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.
44:16ENNo Priors: AI, Machine Learning, Tech, & Startups· 2024年11月21日播客 · 2 人对谈Cohere's Aidan Gomez: The Model Curve Is Flattening, and $20 Million Now Buys GPT-4主持 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.
38:28ENNo Priors: AI, Machine Learning, Tech, & Startups· 2024年10月8日播客 · 2 人对谈Half of Production AI Is RAG. Fine-Tuning Almost Disappeared.主持 Sarah Guo, Elad GilBraintrust CEO Ankur Goyal tells No Priors what Notion, Zapier, and Vercel actually ship — and which hyped techniques they quietly dropped.
3:02:16EN → 简体中文
Lex Fridman· 2024年6月19日播客 · 2 人对谈答案之后，旅程才刚开始：Perplexity CEO Aravind Srinivas 谈搜索与好奇心嘉宾 Aravind Srinivas · 主持 Lex Fridman2022 年，Perplexity 的第一位员工问起健康保险，四个博士却没能从谷歌上得到一个清楚的答案。
36:20ENNo Priors: AI, Machine Learning, Tech, & Startups· 2024年6月6日播客 · 2 人对谈A Hundred Million Tokens in Context Would Cost $10 Million. Tengyu Ma Runs the RAG Math主持 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.
27:32ENNo Priors: AI, Machine Learning, Tech, & Startups· 2024年3月28日播客 · 2 人对谈From a side project to 700 integrations: Harrison Chase on what still blocks agents主持 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.
42:14ENNo Priors: AI, Machine Learning, Tech, & Startups· 2024年3月7日播客 · 2 人对谈Meta’s $197 Billion Day Was a Partial Answer to AI’s $200 Billion Question主持 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.
31:28ENNo Priors: AI, Machine Learning, Tech, & Startups· 2024年2月22日播客 · 2 人对谈Bolt Memory onto GPT-4 and Cut Hallucinations by up to 50%主持 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.
42:07ENNo Priors: AI, Machine Learning, Tech, & Startups· 2024年2月15日播客 · 2 人对谈Notion’s Ivan Zhao: RAG Will Make Organizing Optional主持 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.
46:36ENNo Priors: AI, Machine Learning, Tech, & Startups· 2024年1月18日播客 · 2 人对谈After a decade of code search, Sourcegraph’s CTO says the coding-AI fight is outside the model主持 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.
27:14ENNo Priors: AI, Machine Learning, Tech, & Startups· 2023年12月7日播客 · 2 人对谈Seven People Did the Work of 700. Salesforce's AI Chief Says Enterprise AI Is Still in the Second Inning主持 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.
37:18ENNo Priors: AI, Machine Learning, Tech, & Startups· 2023年5月4日播客 · 2 人对谈Use Retrieval for a Wi-Fi Password. Use Experts for a Company's Private Language.主持 Sarah Guo, Elad GilGoogle Brain's Kelvin Guu on REALM, FLAN, model surgery, and why personalizing large models is still an unsolved interface problem.
35:36ENNo Priors: AI, Machine Learning, Tech, & Startups· 2023年3月16日播客 · 2 人对谈Featured snippets stalled at 7%. A Google veteran used language models to hit 70%主持 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.
2:24:31ENLex Fridman· 2019年10月11日播客 · 2 人对谈Watson Won Jeopardy Without Understanding. Ferrucci Wants AI That Can Explain Itself嘉宾 David Ferrucci · 主持 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.
1:22:36EN → 简体中文
Lenny's Podcast播客 · 2 人对谈别追 AI 新闻了：Chip Huyen 谈真正让 AI 产品变好的事嘉宾 Chip Huyen · 主持 Lenny Rachitsky《AI Engineering》作者从预训练、后训练、强化学习、评估和 RAG 讲起，说明真正拉开产品差距的，是用户、数据和可靠的工作流。
1:11:56EN → 简体中文Lenny's Podcast播客 · 2 人对谈怎样让 ChatGPT 推荐你的产品：答案引擎优化实操嘉宾 Ethan Smith · 主持 Lenny RachitskyGraphite CEO Ethan Smith 讲 AEO 和 SEO 差在哪、哪些杠杆真的有效，以及怎么测量、怎么做对照实验。
23:54ENNo Priors: AI, Machine Learning, Tech, & Startups播客 · 2 人对谈Beyond GPT-7: The Customization Toolkit, Meta's Open Source Bet and the Return of Consumer AI主持 Sarah Guo, Elad GilIn a host-only episode, the No Priors hosts map the six levers for 10x to 100x better AI, explain fine-tuning, RAG and AI feedback, and ask why consumer social is suddenly interesting again.
32:41ENLex Fridman播客 · 2 人对谈How IBM Watson Won Jeopardy: A Moonshot Built on Engineering, Not a Breakthrough嘉宾 David Ferrucci · 主持 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.