The encoder’s self-attention mechanism helps the model weigh the importance of each word in a sentence when understanding its meaning. Pretend the transformer model is a monster: ...

An encoder-decoder architecture is a powerful tool used in machine learning, specifically for tasks involving sequences like text or speech. It’s like a two-part machine that translates one form ...

The encoder-decoder attention mechanism allows the decoder to access and integrate contextual information from the entire input sequence that the encoder previously processed.