Towards Data Science By Shuyang Xiang

Your LLM Has a Curved Space of Paragraphs

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The article explains that within a transformer model, each token’s index functions as a coordinate, and the organization of these tokens into paragraphs provides a metric that shapes the model’s internal space. It argues that this paragraph structure gives the language model a curved, rather than flat, geometric representation of text.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at Towards Data Science.

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