1 link tagged with all of: multi agent systems + engineering + production ai
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Jeff Dean's lecture breaks down the full AI engineering pipeline from building LLMs to orchestrating multi-agent systems, targeting developers who skip prompt engineering courses and need to understand how production AI actually works.
- Most developers learn AI wrong by focusing on prompt engineering instead of production systems fundamentals
- The lecture covers the complete stack: orchestration, RAG, evals, context engineering, and inference
- One person can coordinate 100 agents using proper engineering practices