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

The model attained comparable accuracy to ResNet-50 on ImageNet without being trained on any of the images in the dataset. The CLIP architecture works with different image encoders but attains best ...

This class starts with an introduction to the transformer architecture using large language models as an example. We will then introduce vision transformers and contrastive learning image pretraining ...

Researchers from Adobe and the University of North Carolina (UNC) have open-sourced CLIP-S, an image-captioning AI model that produces fine-grained descriptions of images.In evaluations with ...