Like previous NLP models, it consists of an encoder and a decoder, each comprising multiple layers. However, with transformers, each layer has multi-head self-attention mechanisms and fully ...

Standard transformer architecture consists of three main components - the encoder, the decoder and the attention mechanism. The encoder processes input data to generate a series of tokens ...

Each encoder and decoder layer makes use of an “attention mechanism” that distinguishes Transformer from other architectures. For every input, attention weighs the relevance of every other ...