Post by Intuitive AI Academy
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A surprising idea from a recent paper: Language models may organize knowledge into geometric structures. Because language contains statistical symmetries, embeddings in models like Word2Vec, BERT, and LLMs can form shapes such as lines, circles, and spatial maps. This means the geometry inside the model isn’t random. It reflects the structure of the data it learns from. Paper: https://lnkd.in/gNVNE6MK
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