mlabonne/llm-course

The LLM course is divided into three parts: For a more comprehensive version of this course, check out the DeepWiki. A list of notebooks and articles I wrote about LLMs. Toggle section (optional) This section introduces essential knowledge about mathematics, Python, and neural networks. You might not want to start here but refer to it as needed. Toggle section (optional) Before mastering machine learning, it is important to understand the fundamental mathematical concepts that power these algorithms. 📚 Resources: Python is a powerful and flexible programming language that's particularly good for machine learning, thanks to its readability, consistency, and robust ecosystem of data science libraries. 📚 Resources: Neural networks are a fundamental part of many machine learning models, particularly in the realm of deep learning. To utilize them effectively, a comprehensive understanding of their design and mechanics is essential. 📚 Resources: NLP is a fascinating branch of artificial intelligence that…