Fascinating talk by @phillip_isola at @NeurIPSConf (
@unireps workshop)! In a recent paper, they compared the embeddings produced by vision and language models. The key finding? As language models improve, their internal representations of the world grow increasingly similar to
Language Models’ Internal Representations Converge Like Vision Models
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