But LSTMs were even slower to ... transformer applications require both the encoder and decoder module. For example, the GPT family of large language models uses stacks of decoder modules to ...

Like previous NLP models, it consists of an encoder and a decoder, each comprising multiple ... Unlike RNNs or LSTMs, which process data sequentially and may lose information over long distances ...

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 ...