筛选结果
62 篇排序
6:50EN → 简体中文
Matthew Berman· 2023年3月19日本地运行 LLaMA 和 Alpaca：2023 年 Dalai 教程Matthew Berman · Forward FutureMatthew Berman 在 MacBook Air 上演示早期本地模型的安装方法，并解释控制生成结果的设置。
8:19EN → 简体中文Matthew Berman· 2023年2月15日2023 年的 Leonardo.Ai：生成图像、混搭模型与编辑画布Matthew Berman · Forward FutureMatthew Berman 演示 Leonardo.Ai 早期图像生成界面，从风格模型和设置讲到社区混搭、自定义训练和测试版画布。功能和价格自 2023 年 2 月这次演示以来已有变化。
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。
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.
46:48EN
Unsupervised 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.
1:22:17EN
Cognitive Revolution "How AI Changes Everything"播客One Set of Weights, Fourteen Medical Tasks: Inside Google's Multimodal Med-PaLM M主持 Nathan LabenzVivek Natarajan and Tao Tu explain how Google built a single generalist biomedical model that reads images, genomics and text, and what it will take to put it in front of patients.