Token Space: A Category Theory Framework for AI Computations

arXiv:2404.11624v1 Announce Type: cross
Abstract: This paper introduces the Token Space framework, a novel mathematical construct designed to enhance the interpretability and effectiveness of deep learning models through the application of category theory. By establishing a categorical structure at the Token level, we provide a new lens through which AI computations can be understood, emphasizing the relationships between tokens, such as grouping, order, and parameter types. We explore the foundational methodologies of the Token Space, detailing its construction, the role …

abstract application arxiv categorical construct cs.lg deep learning framework interpretability lens novel paper space theory through token type