A mathematical perspective on Transformers
December 17, 2023 ยท Declared Dead ยท ๐ Bulletin of the American Mathematical Society
"No code URL or promise found in abstract"
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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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