Neural machine translation models, such as Recurrent Neural Networks, Long Short-Term Memory networks and the Transformer, are widely used in many translation tasks. Neural machine translation models ...

Feed Forward Network: A core building block of both the Transformer encoder and decoder. Encoder Layer: The fundamental unit of the Transformer encoder. Decoder Layer: The fundamental unit of the ...

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.

The decoder also consists of multiple identical layers, each of which applies a similar set of operations to the output sequence. In addition to the self-attention and feedforward layers, each decoder ...

Decoder Layers: The decoder uses the encoder’s output and input to produce the final output. It also applies self-attention, but in a way that prevents positions from attending to the next positions ...