This project is a tutorial to help beginners systematically learn the principles and practices of large language models (LLMs). Through detailed tutorials and practical cases, it gradually leads readers to deeply understand the basics of natural language processing (NLP), the Transformer architecture, and the basic principles of pre-trained language models, and enables them to implement and train their own large language models hands-on.