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> A CLIP model consists of two sides, a ResNet vision model and a Transformer language model, trained to align pairs of images and text from the internet using
by gillesjacobs 6y ago
> A CLIP model consists of two sides, a ResNet vision model and a Transformer language model, trained to align pairs of images and text from the internet using a contrastive loss.
It isn't surprising that a model trained for alligning photos and corresponding text labels has neurons that have learned higher semantic concepts as that is exactly the goal of generalisation.
- skybrian 6y agoPresumably that’s why they tried it? They’re reporting on how well it worked, and in particular how it seems to be encoded.