It captures complex patterns that the attention mechanism might miss by processing each token's representation independently. 4. Normalization and Residual Connections
This is the "core" of the architecture, allowing the model to focus on different parts of the input sequence simultaneously. transformers components
Following the attention layers, each position in the encoder and decoder is processed by a . It captures complex patterns that the attention mechanism