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in addition to the really exciting dolly model thats able to generate images from text prompts openai has also released clip connecting text and images this paper is using a contrastive learning approach to unify images and text and turn image classification into a text similarity problem so heres the high level overview of the algorithm they start off with contrastive pre-training where they use all the image text pairs from an internet dump and then they match them with the similarity from a batch of images so an example would be this text pepper the aussie pup and then you have this image and then say this this batch contains say like avocados trucks cars other kinds of images in this batch of images and then you have other kinds of description like say this is like a suv and then the type of the car another kind of text description like that that you would make similar with that batch in the uh with that image in the image batch so you do this contrastive pre-training task where
