The Matrix: A Bayesian learning model for LLMs

This paper presents a Bayesian learning model to understand the behavior of Large Language Models (LLMs). Authors Siddhartha Dalal and Vishal Misra explore the optimization of LLMs, presenting a generative text model and examining the LLMs' approximation of it. They introduce the Dirichlet approximation theorem for prior approximations and discuss the implications of in-context learning.

• Authors introduced a generative text model.
• Focused on Large Language Models (LLMs).
• 12 pages and 6 figures included.
• Subjects cover Machine Learning and AI.
• Uses Bayesian principles in LLMs.