The attention mechanism in transformers relies on three matrices: Query (Q), Key (K), and Value (V). These matrices are created by multiplying input embeddings with learned weight matrices (Wq, Wk, Wv). The Query represents what each token is looking for, the Key represents what each token contains, and the Value holds the
Table of contents
Why Q, K, V Matrices MatterThe IntuitionAttention PipelineA Simple ExampleThe Weight MatricesConstructing the Query matrixConstructing the Key matrixConstructing the Value matrixConstruction PseudocodeWhy Separate Weight MatricesImpact of Chosen DimensionRole of Matrices in AttentionThe First StepFootnoteSort: