Information Theory, a branch of mathematical science, focuses on quantifying, storing, and transmitting information efficiently. It introduces concepts like entropy and data compression, which are vital in optimizing AI models by reducing complexity and improving data handling. This foundation aids in designing algorithms that effectively manage large datasets, enabling AI systems to learn, communicate, and operate more efficiently.