Large Language Models represent one of the most sophisticated applications of mathematics in artificial intelligence. These models, like GPT and others, are built on four key mathematical foundations. Linear algebra provides the vector representations that allow computers to understand language. Calculus enables the optimization algorithms that train these models. Probability theory allows them to model the statistical nature of language. And information theory helps measure and minimize uncertainty in predictions.