Multi-Head Attention and Positional Encoding: Inside the Transformer

Multi-head attention runs several attention operations in parallel, letting the model simultaneously capture syntactic structure, semantic relationships, and coreference. Positional encoding solves a key problem: since attention is order-agnostic, position information must be explicitly injected. These two mechanisms together define transformer expressiveness.