BERT is an AI language model that Google uses within its algorithm to help provide relevant search results by better understanding the context of the searcher's query.

BERT-GPT, an encoder-decoder architecture, where the pretrained BERT is used to encode the conversation history and GPT is used to decode the response.

ModernBERT, like BERT, is an encoder-only model. Encoder-only models have the characteristic of outputting a 'list of numbers (embedding vector)', which means that they literally encode human ...

An encoder-decoder architecture is a powerful tool used in machine learning, specifically for tasks involving sequences like text or speech. It’s like a two-part machine that translates one form ...