Chapter 03.03: The Decoder
The Decoder in a transformer model is responsible for generating an output sequence based on the contextualized representations generated by the encoder, facilitating tasks such as sequence generation and machine translation. It achieves this by utilizing self-attention mechanisms, similar to the encoder, to capture dependencies within the input sequence and cross-attention mechanisms to attend to the Encoder-output, enabling the model to focus on relevant parts of the input during decoding. Additionally, the decoder includes position-wise feedforward networks to further refine the representations and generate the output sequence token by token.