筛选结果
70 篇排序
1:44:19EN → 简体中文
Cognitive Revolution "How AI Changes Everything"· 2023年3月14日播客十个人对垒谷歌的 2820 亿美元搜索机器主持 Nathan LabenzPerplexity 创始人 Aravind Srinivas 向 Nathan Labenz 解释，小团队要和谷歌竞争，靠的是引用、速度和单位时间里的价值，而不是聊天气泡。
1:26:20EN → 简体中文Cognitive Revolution "How AI Changes Everything"· 2023年3月2日播客四十美元为 Joe Rogan 建索引：Chroma、铲子与机器学习的莱特飞行者时代主持 Nathan LabenzChroma 联合创始人 Anton Troynikov 谈嵌入（embedding）作为语言模型应用存储层的意义、Stable Attribution，以及为什么机器学习仍在靠直觉飞行。
2:24:31EN → 简体中文
Lex Fridman· 2019年10月11日播客 · 2 人对谈Watson 没懂就赢了《危险边缘》（Jeopardy），Ferrucci 想要能解释自己的 AI嘉宾 David Ferrucci · 主持 Lex FridmanLex Fridman 与 David Ferrucci 谈 IBM Watson，为什么预测不等于理解，以及高风险决策为何需要能与我们一起推理的机器。
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。
1:36:57EN
Unsupervised Learning: With Jacob Effron播客Do the Dumb Thing First: A CTO's Playbook for Building an AI Coding Assistant主持 Jacob EffronSourcegraph CTO Beyang Liu on which AI coding features actually earn daily use, how new models get shipped and evaluated, and why retrieval is still a search problem.
23:54EN
No 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.
57:25ENUnsupervised Learning: With Jacob Effron播客From RAG to Reasoning: Why the Future of AI Is a System, Not a Model主持 Jacob EffronDouwe Kiela explains what OpenAI's o1 reveals about test-time compute, why enterprise AI must be specialized, and where post-training and evaluations are heading.
51:55ENUnsupervised Learning: With Jacob Effron播客The Search Engine Under AI Apps: Why Bigger Context Windows Aren't Enough主持 Jacob EffronTurbopuffer CEO Simon on object-storage databases, vector-search trade-offs, and the AI features that will become SaaS table stakes.
46:48ENUnsupervised Learning: With Jacob Effron播客Snowflake's AI Stack: Small Models, the Text-to-SQL Iceberg, and Why Governance Comes First主持 Jacob EffronSnowflake head of AI Baris Gekken explains how Arctic and Cortex were built, where enterprise AI actually works today, and why precision, governance and evaluation matter more than raw model capability.
1:06:22ENUnsupervised Learning: With Jacob Effron播客Perplexity's Bet: Search Becomes Answers, and Answers Become a Business主持 Jacob EffronThe Perplexity CEO explains how a consumer AI search product is built, sequenced, and defended against Google.
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.
1:01:13ENUnsupervised Learning: With Jacob Effron播客Pinecone's Vector Database Bet: Scaling Through the ChatGPT Tsunami主持 Jacob EffronEdo Liberty explains how Pinecone scaled through the generative AI boom, why vector search is more than a database add-on, and where he sees the next AI infrastructure shifts.