Chapter 3 focuses on coding attention mechanisms for building a Large Language Model (LLM). It explains self-attention's role, its implementation, and the significance of multi-head attention. The chapter emphasizes understanding LLM operations through coding examples, leading to the development of a functional yet simplified model, preparing for future training and architecture implementation.