Welcome to the Large Language Models (LLMs) project! This repository serves as a comprehensive resource for understanding, building, and fine-tuning large language models using state-of-the-art techniques.
Large Language Models are advanced AI systems trained on extensive text data to understand and generate human-like language. They are pivotal in various natural language processing tasks, including text generation, translation, summarization, and more.
This project provides:
- Educational Content: Detailed explanations of LLM architectures, training processes, and operational guidelines.
- Practical Implementations: Jupyter notebooks demonstrating the construction and fine-tuning of LLMs.
- Assignments: Self-paced exercises to reinforce understanding and practical skills.
To explore the content:
- Clone the Repository:
git clone https://github.com/penjc/llmbook.git
- Install Dependencies: Navigate to the project directory and install the required packages:
pip install -r requirements.txt
It’s recommended to use a virtual environment to manage dependencies.
- Build the Book:
jupyter-book build llmbook/
The generated HTML files will be located in llmbook/_build/html/.
- View the Book:
Open llmbook/_build/html/index.html in your web browser to explore the content locally.
A live version of the book is available at https://penjc.github.io/llmbook/.