In tasks like translation, transformers manage context from past and future input using an encoder-decoder structure. BERT learns to understand the context of words within sentences through its ...

ModernBERT, like BERT, is an encoder-only model ... By passing the encoded data to a decoder-only model, the decoder-only model can generate sentences and pictures. Decoder-only models can ...

In its vanilla form, Transformer includes two separate mechanisms—a "decoder" that predicts the next word in a sequence and an "encoder" that reads input text. BERT, however, only uses the ...

BERT stands for Bidirectional Encoder Representations from Transformers. It was opened-sourced last year and written about in more detail on the Google AI blog. In short, BERT can help computers ...