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.

For this reason, many familiar state-of-the-art models, such the GPT family, are decoder only. Encoder-decoder models combine both components, making them useful for translation and other sequence ...

For example, the GPT family of large language models uses stacks of decoder modules to generate text. BERT, another variation of the transformer model developed by researchers at Google, only uses ...

Early examples of the promise of foundational models such as GPT-3, BERT, or DALL-E 2 showed promise in language and images. Simply entering a short string, the system can return an entire essay, even ...