Then, the brain encoder learns to align the MEG signals to those image embeddings. Finally, the image decoder creates a ... a recent self-supervised architecture able to learn a rich set of ...

Depending on the application, a transformer model follows an encoder-decoder architecture ... vector or latent representation of the text or image and uses it to generate new text, making it ...

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