Build a Large Language Model from Scratch, Language English, 400 pages

Product description

Build a Large Language Model from Scratch, Language English, 400 pages

In Build a Large Language Model (from Scratch), you’ll discover how LLMs work from the inside out. In this insightful book, bestselling author Sebastian Raschka guides you step by step through creating your own LLM, explaining each stage with clear text, diagrams, and examples. You’ll go from the initial design and creation to pretraining on a general corpus, all the way to finetuning for specific tasks.

Build a Large Language Model (from Scratch) teaches you how to:

Plan and code all the parts of an LLM

Prepare a dataset suitable for LLM training

Finetune LLMs for text classification and with your own data

Apply instruction tuning techniques to ensure your LLM follows instructions

Load pretrained weights into an LLM

The large language models (LLMs) that power cutting-edge AI tools like ChatGPT, Bard, and Copilot seem like a miracle, but they’re not magic. This book demystifies LLMs by helping you build your own from scratch. You’ll get a unique and valuable insight into how LLMs work, learn how to evaluate their quality, and pick up concrete techniques to finetune and improve them.

The process you use to train and develop your own small-but-functional model in this book follows the same steps used to deliver huge-scale foundation models like GPT-4. Your small-scale LLM can be developed on an ordinary laptop, and you’ll be able to use it as your own personal assistant.

Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications.

About the book

Build a Large Language Model (from Scratch) is a one-of-a-kind guide to building your own working LLM. In it, machine learning expert and author Sebastian Raschka reveals how LLMs work under the hood, tearing the lid off the Generative AI black box. The book is filled with practical insights into constructing LLMs, including building a data loading pipeline, assembling their internal building blocks, and finetuning techniques. As you go, you’ll gradually turn your base model into a text classifier tool, and a chatbot that follows your conversational instructions.

About the reader

For readers who know Python. Experience developing machine learning models is useful but not essential.

About the Author