Chapter 8 of Speech and Language Processing covers core components of the Transformer architecture: self-attention, Q/K/V vectors, multi-head attention, residual streams, and masking. It moves from an intuitive view to a matrix formulation.
As you study, first identify the role of each component in the intuitive explanation. Then follow how that role appears in the mathematical operations; use the matrices to connect the concepts without losing sight of what each step does.
To consolidate the material, draw a diagram linking Q/K/V, attention, multiple heads, residual streams, and masking. Compare it with the chapter’s explanation and note specific questions to investigate.
If you use AI to study or apply the material, avoid sending internal documents, personal data, or confidential passages. Prefer general questions or synthetic examples, and follow your organization’s data rules.