AI Briefingllm-course: Free Roadmap and Hands-on Notebooks from LLM Basics to Deployment
mlabonne/llm-course
About the project
Provides a step-by-step learning path from the fundamentals of mathematics, Python, and neural networks to LLM scientist and engineer tracks. Each step consists of theoretical explanations and notebooks that can be run directly in Google Colab.
Covers the fine-tuning, quantization, and model merging processes of the latest models such as Llama 3 and Mistral in detail. It also includes methods for handling complex pipelines with a single click using tools like AutoQuant and LazyMergekit.
Beginners lacking a theoretical background can start with essential mathematics and NLP resources. Engineers with existing development experience can immediately apply what they learn through practical examples focused on deployment and optimization.
mlabonne/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
This introduction was generated automatically by AI. Check the original for the author's claims and context. Copyright belongs to the original author.
Our guide explains how the AI works. Report errors, attribution issues, or removal requests via Contact.