Stanford offers CS 329Z Agent Engineering course
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Stanford has released the syllabus for its CS 329Z "Engineering AI Agents" course, which systematically teaches AI agent engineering. The course covers agent anatomy (LLM core, reasoning, memory, tools, and environment), RAG, tool calling and MCP, DSPy and LangGraph orchestration, design patterns such as ReAct, MemGPT-style memory architectures and multi-agent systems, and also touches on context and weight optimization. A video subsequently released for the course compared the two agent frameworks DSPy and LangGraph in building agents, but did not disclose specific parameters, performance scores, or availability information.
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- Nov 14 06:03 · 1 reportsDSPy vs. LangGraph comparison: Stanford CS329Z explains AI agent frameworksHacker News AI：DSPy vs. LangGraph: AI Agent Frameworks Explained – Stanford CS329Z [video]
- Nov 13 15:51 · 1 reportsStanford releases CS 329Z AI Agent Engineering course syllabusHacker News AI：Stanford CS 329Z: Engineering AI Agents
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- Hacker News AIDSPy vs. LangGraph: AI Agent Frameworks Explained – Stanford CS329Z [video]
A Stanford CS329Z video comparing the AI agent frameworks DSPy and LangGraph, shared via YouTube and posted to Hacker News.
- Hacker News AIStanford CS 329Z: Engineering AI Agents
Stanford's CS 329Z course covers engineering AI agents across foundations, LLM internals, RAG, tool use, frameworks, design patterns, memory, multi-agent systems, optimization, data, evaluation, safety, and coding and personal agents. It includes guest lectures on Terminal-Bench, SWE-bench, and a fireside chat with Andrew Ng, plus a final project demo day.
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