Hugging Face LLM Course

The Hugging Face LLM Course is a free, ad-free educational resource that teaches large language models (LLMs) and natural language processing (NLP) using the Hugging Face ecosystem, including libraries like Transformers, Datasets, Tokenizers, and Accelerate, as well as the Hugging Face Hub. The course covers both foundational NLP concepts and cutting-edge LLM techniques, from understanding transformer models to fine-tuning and building interactive demos. It is structured in chapters: chapters 1-4 introduce Transformers, chapters 5-8 cover Datasets and Tokenizers and classic NLP tasks, chapter 9 focuses on building and sharing demos, and chapters 10-12 dive into advanced LLM topics such as fine-tuning, curating datasets, and reasoning models. The course requires good knowledge of Python and is best taken after an introductory deep learning course.