Large-Language-Model-Notebooks-Course

Why we included this project

If you have been reading about large language models but haven't written much code yet, this collection of Jupyter notebooks gives you a structured way to start. It walks through the libraries and techniques you will actually use, like the OpenAI and Hugging Face APIs, simple chatbots, code generation, vector databases, and LangChain. The later lessons cover fine-tuning, with worked examples using PEFT and LoRA, and also touch on soft prompt tuning. Each notebook is self-contained and references the paper it is based on, so you can see the reasoning behind the approach rather than just copying the code. The course is free and still being expanded, which makes it a good fit for both individual learners and small teams.