This course, Large Language Models (LLMs) – Stanford Online Full Course, provides an in-depth exploration of state-of-the-art LLM technology and transformer-based architectures. You will learn how LLMs work, their training processes, tuning, reasoning, and agentic behavior, with lectures covering both theory and practical applications.

The course also includes advanced topics such as efficient training, tokenization, benchmarking, post-training adjustments, and real-world applications of LLMs in NLP tasks. You will gain insights into transformer models, model evaluation, and the biological inspiration behind large language models. The curriculum is delivered by Stanford experts and includes both CME and CS series lectures, offering a comprehensive understanding of modern NLP and AI systems.

By the end of the course, you will have a solid foundation in LLM theory and practical knowledge to understand, analyze, and apply large language models. This course is ideal for AI researchers, data scientists, machine learning engineers, and anyone seeking to deepen their knowledge in AI and NLP using cutting-edge Stanford lectures.