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 ...

BERT works by encoding different word embeddings ... I want to cover this last foundational topic to expand the encoder/decoder idea I briefly covered in part one. Let’s take a look at the ...

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 ...

Recently, BERT-based LS methods entirely or partially ... a non-autoregressive paraphrase generation. After training a encoder-decoder modeling on a paraphrase corpus, we feed the sentence into ...