A mathematical perspective on Transformers

December 17, 2023 ยท Declared Dead ยท ๐Ÿ› Bulletin of the American Mathematical Society

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Authors Borjan Geshkovski, Cyril Letrouit, Yury Polyanskiy, Philippe Rigollet arXiv ID 2312.10794 Category cs.LG: Machine Learning Cross-listed math.AP, math.DS Citations 116 Venue Bulletin of the American Mathematical Society Last Checked 4 months ago
Abstract
Transformers play a central role in the inner workings of large language models. We develop a mathematical framework for analyzing Transformers based on their interpretation as interacting particle systems, which reveals that clusters emerge in long time. Our study explores the underlying theory and offers new perspectives for mathematicians as well as computer scientists.
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