AI Research
The Probabilistic Structure of Large Language Models
Unifying the mathematical foundations of generative language architectures
This paper presents a probabilistic perspective on large language models (LLMs), developed with the aim of bringing together, in a single self-contained account, tools that are usually treated separately across the literature. LLMs are described through probability measures on th...
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ArXiv CS.LG
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ArXiv CS.LG
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This research provides a unifying mathematical framework that bridges disparate statistical theories into a cohesive view of LLM architecture. By standardizing these probabilistic tools, researchers can better understand how models generate sequences and optimize their underlying predictive performance.
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