The research discusses various LLM architectures, including encoder-only models like DNABERT, decoder-only models such as DNAGPT, and encoder-decoder models like ENBED. The team employed a ...

Large language models (LLMs), when trained on extensive plant genomic data, can accurately predict gene functions and regula ...

A vision encoder is a necessary component for allowing many leading LLMs to be able to work with images uploaded by users.

The mini, which has 3.8 billion parameters and is a dense decoder-only transformer ... and GPT-4o-mini. The model, which has 4.2 billion parameters and contains an image encoder, connector ...

During inference, a tokenizer breaks the input sequence down into tokens before passing it to the LLM. This makes ... two small byte-level encoder/decoder models and a large “latent global ...

LLMs like BART and T5 use both an encoder and a decoder ... that they include multiple calls to models, retrievers, or external tools—supplementing the LLM's work with additional resources ...