The attention mechanism within the Transformer architecture allows the model to focus on different parts of the input sequence when generating each word. Attention enables the model to weigh the importance of different words in the input sequence relative to the word being generated. It does this by calculating attention weights, which represent the strength ....
Log in to view the answer
