Stanford CS 329Z Course Teaches Engineering AI Agents
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Stanford's CS 329Z, "Engineering AI Agents," is a course that walks through the anatomy of agentic systems: the LLM core, reasoning, memory, tools and environment, and the gap between compound AI systems and true agents. According to the course description, it covers RAG pipelines, tool use and function calling with MCP, orchestration with DSPy and LangGraph, memory architectures such as MemGPT, and multi-agent orchestration patterns. The course closes with optimization methods including GEPA, PPO and GRPO, and includes a guest lecture from the creators of Terminal-Bench. The material is presented as course content rather than as evidence that any of these methods or architectures has been shown to work better than alternatives.
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- Hacker News · AIStanford CS 329Z: Engineering AI Agents Course Covers Agent Design, RAG, Tools and Multi-Agent Systems
Stanford's CS 329Z, Engineering AI Agents, walks through the anatomy of agentic systems — LLM core, reasoning, memory, tools and environment — and the gap between compound AI systems and true agents. The course covers RAG pipelines, tool use and function calling with MCP, DSPy and LangGraph orchestration, memory architectures such as MemGPT, and multi-agent orchestration patterns. It closes with optimization methods including GEPA, PPO and GRPO, plus a guest lecture from the Terminal-Bench creators.
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