AI Tutorial

LLM101n is an open source course designed to teach how to build a story-telling artificial intelligence large-scale language model (LLM) from scratch. The course content covers many aspects from basic to advanced, including language models, machine learning, deep learning frameworks, etc., and is suitable for programmers and researchers who want to understand AI and LLM in depth.

This project is a full-process guidance tutorial around open source large models, including environment configuration, model deployment, efficient fine-tuning, etc. It simplifies the use and application of open source large models, allowing more ordinary learners to use open source large models. The project is aimed at learners who are interested in open source large models and want to get started independently. It provides detailed environment configuration, model deployment and fine-tuning methods.

LLMs-from-scratch takes you step-by-step through how LLMs work. This book will guide you step-by-step through creating your own LLM, explaining each stage through clear text, diagrams, and examples. The methods described for training and developing your own small but fully functional models for educational purposes are similar to those used to create large-scale base models such as ChatGPT.