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CLIP Contrastive Language–Image Pre-Training Model
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this is fascinating, they train an encoder/decoder but use LLM matching the target model's shape for each part, so the latent space is just plain language and they can detect reward hacking, unwanted behavior and morecould even see it being used as an eval to quantify how smart a model is, i love this
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Insightforge | AI & Data Science on Instagram: "OpenAl's CLIP (Contrastive Language-Image Pretraining) is a multimodal neural network designed to link text and images within the same representational space. Unlike traditional models that classify images into predefined categories, CLIP learns by associating images with their textual descriptions - adjusting itself so that matching pairs have higher similarity scores, while unrelated pairs are pushed further apart. Both the text and image inputs
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