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DSPy vs. LangGraph: AI Agent Frameworks Explained | Stanford CS329Z Lecture 5 with Michael Ryan

224 views · today · 1:17:14

Guest: Michael Ryan

Browse Stanford's online courses in Agentic AI Self-paced online Agentic AI course Lecture Overview Which framework should you use to build AI agents? In this Stanford CS329Z: Engineering AI Agents lecture, DSPy contributor Michael Ryan live-codes agents in DSPy (signatures, modules, and optimizers) and LangGraph (state, nodes, and edges), then compares open-source agent harnesses like mini-SWE-agent, OpenHands, and Pi, shows durable orchestration with Temporal, and shares…

Why AI Decisions Are Geopolitical Decisions | Francis Fukuyama & Andy Grotto, Stanford

187 views · today · 2:14

In this overview of AI, Power, and the New Rules of Global Strategy, academic co-directors Francis Fukuyama and Andy Grotto of Stanford’s Freeman Spogli Institute for International Studies explain why AI decisions are never only about technology.

How AI Agents Use Tools: Function Calling & MCP | Stanford CS329Z Lecture 4 with Diyi Yang

18K views · 1d ago · 1:19:16

Guest: Diyi Yang

Browse Stanford's online courses in Agentic AI Lecture Overview Why can't LLMs do everything on their own, and how do they learn to use tools? In this Stanford CS329Z: Engineering AI Agents lecture, Stanford professor Diyi Yang covers the “lost in the middle” problem, how LLMs learn to use tools with Toolformer and ToolkenGPT, scaling to thousands of APIs with ToolLLM and Gorilla, the difference between REST APIs, function calling, and the Model Context Protocol (MCP), and…

RAG Explained: From BM25 to Agentic RAG | Stanford CS329Z Lecture 3 with Diyi Yang

25K views · 2d ago · 1:16:31

Guest: Diyi Yang

Browse Stanford's online courses in Agentic AI Self-paced online Agentic AI course Lecture Overview How does retrieval-augmented generation (RAG) work, and do frontier models still need it? In this Stanford CS329Z: Engineering AI Agents lecture, Stanford professor Diyi Yang walks through the full RAG pipeline: chunking and contextual retrieval, RAPTOR and GraphRAG, vector search with HNSW, BM25 vs.

Topics: Why RAG? Grounding answers in evidence · From retriever-reader QA to RAG · Q&A: do frontier models still need RAG? · Indexing: embeddings & chunking strategies · Contextual retrieval & late chunking · Hierarchical & graph RAG: RAPTOR, GraphRAG

Stanford Robotics Seminar ENGR319 | Autumn 2026 | Bridging Rigorous Methods with Machine Learning

2K views · 14d ago · 1:01:52

Guest: Machine Learning

For more information about Stanford’s graduate programs, visit October 2, 2026 This seminar covers Why learning-based controllers struggle with real-world deployment: we can’t guarantee a learned policy is safe, and we can’t efficiently find the rare scenarios where it fails A new approach that closes the loop between synthesis (building safe policies) and falsification (finding where they break) How neural certificates can be formulated as value functions in reinforcement…

Should We Slow Down AI? Francis Fukuyama on the China Question

4K views · 16d ago · 1:24

If the U.S. slows down frontier AI development, will China pull ahead? Francis Fukuyama, senior fellow at Stanford’s Freeman Spogli Institute, says that question comes up every time someone proposes slowing down. He argues that AI is no longer only a technology companies adopt. It has become a major political issue.

Stanford CS547 HCI Seminar | Autumn 2026 | Designing AI for Societal Good

10K views · 21d ago · 56:34

For more information about Stanford’s graduate programs, visit October 9, 2026 This lecture covers Improving generative AI chatbots' influence on public mental health as a case study A new way of thinking about "designing AI for societal good," namely "designing AI as planting seeds" (of better business models, policy, and politics) Early work that explores this design practice and research agenda

Webinar: Regulating at the Speed of AI with Francis Fukuyama and Nate Persily

8K views · 24d ago · 56:46

Guest: Francis Fukuyama

Learn more about about AI, Power and the New Rules of Global Strategy In this webinar, Francis Fukuyama, Olivier Nomellini Senior Fellow at Stanford’s Freeman Spogli Institute for International Studies, interviews Nathaniel Persily, James B. McClatchy Professor of Law at Stanford Law School and co-director of the Stanford Law AI Initiative.

Stanford AA274A Principles of Robotic Autonomy | Autumn 2019 | Stereo Vision

10K views · 28d ago · 49:46

Guest: Stereo Vision

For more information about Stanford’s graduate programs, visit Lecture 10 — Stereo Vision Note: This lecture was recorded as part of the 2019 edition of the course. Course content, structure, assignments, and other materials may have changed since this recording. The course links below point to the most recent edition and may therefore differ from what is presented in the video.