The decoder then generates the output sequence one token at a time, using both the encoder’s representations and the previously generated tokens to inform the context, allowing it to consider ...

Seq2Seq models are a type of neural network architecture specifically designed to process and generate sequences. They consist of two main components: an encoder and a decoder.