mlabonne/llm-course ? reverse-engineered prompt

I want to build a central hub for learning about Large Language Models, kind of like a course hosted on a single page. It should be aimed at people starting out and also those who want to get more advanced.

Let's structure it into three main parts. The first should be optional "Fundamentals," covering the basics of Python, math, and neural networks. The next two parts should be the core: an "LLM Scientist" track teaching how to build and fine-tune models with the latest techniques, and an "LLM Engineer" track focused on creating and deploying apps that use LLMs.

Please present the content in tables. Each row should represent a topic, like how to fine-tune a Llama model or how to quantize a model to make it smaller. Include a short description and a link to an external resource, like a Google Colab notebook, for each. Make it look clean and well-organized, so it's easy for someone to follow the learning path.