But not all transformer applications require both the encoder and decoder module. For example, the GPT family of large language models uses stacks of decoder modules to generate text.

Depending on the application, a transformer model follows an encoder-decoder architecture. The encoder component learns a vector representation of data that can then be used for downstream tasks ...

The encoder processes input data to generate a series of tokens, while the decoder takes these representations and ... Transformer models have now evolved beyond the original language ...