Transformers and Large Language Models: From Basics to Frontier Research

Welcome to the official GitHub repository for the book "Transformers and Large Language Models: From Basics to Frontier Research". This repository contains all the supplementary materials, code examples, and additional resources referenced in the book.

Table of Contents

1. Introduction
2. How to Use This Repository
3. Code Examples
4. Feedback and Contributions
5. License

Introduction

This book aims to provide readers with a comprehensive understanding of the Transformer architecture, its applications, and the future prospects of NLP. Whether you're an AI enthusiast, researcher, or practitioner, you'll find valuable insights and hands-on examples here.

Book Index

How to Use This Repository

• Reading: Each chapter's content is available in markdown format.
• Code: Navigate to the code directory for practical examples and projects.
• Datasets: Essential datasets used in the book are stored in the datasets directory.

Code Examples

All code examples are written in Python and make use of popular libraries such as TensorFlow and PyTorch. Ensure you have the required dependencies installed. Each code directory contains a requirements.txt for easy setup.

Feedback and Contributions

We value your feedback and contributions! If you have suggestions or find errors:

1. Raise an issue detailing your feedback or the error you've found.
2. If you wish to contribute directly, fork the repository, make your changes, and submit a pull request.

License

This project is licensed under the MIT License. See the LICENSE file for details.