CS 5220: Large Language Models

This course provides a comprehensive exploration of Large Language Models (LLMs), covering their theoretical foundations, architectural innovations, training methodologies, and real-world applications. Topics covered include understanding of transformer architectures, attention mechanisms, and the scaling laws that govern modern language models. The course emphasizes both theoretical principles and practical implementation, preparing students to contribute to cutting-edge research and industrial applications in natural language processing.