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 ...

The transformer architecture consists of an encoder and a decoder. The encoder processes the input sequence, ... The versatility of transformer networks extends beyond NLP.

To hear the full interview, listen in the player above, or you can download it.. This week, Joanna Wright, our London editor, joins Wei-Shen on the podcast to talk about her feature on how transformer ...

Google this week open-sourced its cutting-edge take on the technique — Bidirectional Encoder Representations from Transformers, or BERT — which it claims enables developers to train a “state ...