Chapter Deep
Chapter 2 — How Models Work
First-principles explanation This chapter explains how LLMs transform text into predictions: tokens, probabilities, and the practical implications for reliability. Why this matters for agents Agents depend on the model’s output distribution. Understanding “what the model is doing” is the foundation for tool-use, planning, and evaluation.
Chapter video
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First-principles explanation
This chapter explains how LLMs transform text into predictions: tokens, probabilities, and the practical implications for reliability.
Why this matters for agents
Agents depend on the model’s output distribution. Understanding “what the model is doing” is the foundation for tool-use, planning, and evaluation.