AITOPAI热报
How-to

斯坦福 CS329A 课程：Self-Improving AI Agents 全部 9 讲视频上线

shao__meng@shao__meng
Post
View the post
Why we picked it

斯坦福的 Agent 课程 CS329A，9 讲视频全免费挂在 YouTube 上，讲课老师有 Google Brain 和 DeepMind 背景，想系统学 Agent 的直接看这个。

斯坦福大学课程 CS329A: Self-Improving AI Agents 已完成第二年讲授，由曾在 Google Brain / DeepMind 合作的两位老师主讲。

Image · shao__meng
Body

目前 9 讲视频全部发布在 YouTube，课程主页为 cs329a.stanford.

edu。第 1 讲观看量达 52 万，第 9 讲为 1.

5 万。课程聚焦自我改进型 AI Agents 的系统学习，适合想建立全局认知的开发者。

Original · shao__meng

斯坦福大学课程 CS329A: Self-Improving AI Agents 斯坦福大学 @achowdhery @Azaliamirh 两位老师主讲，他们在 Google Brain / Deepmind 有过合作经历，现在合作连续两年讲授 AI Agents 课程。 分享这门课程后，类似获得了超过 5K+ 点赞和收藏，看到很多朋友喜欢，我也把 9 个视频做了一个预告视频，让大家对课程可以更快有更直观的感受。 虽然 AI Agent 已经强大到很多人觉得不需要再学习，什么问题都可以直接问，到顶级大学的基础课程，系统学习下来，还是会很有收获，全局认知的提升。 马上长假了，收藏学起来！ 课程主页： cs329a.stanford.edu 视频列表： youtube.com/playlist?list=…

Industry Coordinates & Source Verification

This report is categorized under AITOP's "How-to" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows. Key entities and technical topics under continuous tracking include CS329A, Stanford, AI Agents, 智能体.

Source attribution: curated from shao__meng (@shao__meng).

#CS329A#Stanford#AI Agents#智能体#课程

Keep reading

Recent stories with the same tag or section
PapersBuildersSelected17:50
Stanford CS329A: Self-Improving AI Agents Course Overview Notes

The takeaway is that small models can beat larger ones when given enough parallel samples and a verifier, which reframes inference-time compute as the practical lever for builders without trillion-parameter budgets. Engineers designing agent pipelines should note the coverage-versus-pass@k distinction when choosing between repeated sampling and reasoning models like o1. Stanford publishing the full lecture makes a frontier-lab curriculum freely accessible to self-taught practitioners.

#CS329A#Stanford#self-improving agents#inference-time compute
shao__meng@shao__mengSource
How-toBuildersMulti-sourceSelected73°20:24
Stanford CS329A Self-Improving AI Agents Videos Fully Released on YouTube

Most viewers quit after the first lecture, so finishing all 9 gives systematic grounding that ad-hoc prompting cannot replace. Builders designing agent training loops or evaluating self-improvement workflows will get the most value. Since the lectures are free on YouTube, anyone in Singapore or the wider region can follow along without access barriers.

#Stanford#CS329A#AI agents#fine-tuning
Event
shao__meng@shao__mengSource