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 ...

The HF library makes implementing NLP systems using TA models much less difficult (see "How to Create a Transformer Architecture Model for Natural Language Processing"). A good way to see where this ...

Generative Pre-trained Transformers (GPTs) have transformed natural language processing (NLP), allowing machines to generate text that closely resembles human writing. These advanced models use ...

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 ...