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reinforcement learning

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2020-Q1 2026-Q1

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Filtering by: The Anatomy of an LLM Agent ×

How do LLM agents turn plain English into complex action? This talk demystifies their inner loop, tool calls, memory, error handling, and goal pursuit, through a fundamental deep dive into the mechanics that make real-world agents work. We'll start off with classical RL based agents and use that framework to understand cutting edge current LLM powered agents.