This book by Andriy Burkov is the PyTorch follow-up to his bestselling The Hundred-Page Machine Learning Book. This book offers a concise yet thorough journey from language modeling fundamentals to the cutting edge of modern Large Language Models (LLMs). Written in a hands-on style with working Python code examples, this book progressively builds understanding from basic machine learning concepts to advanced language model architectures. All code examples run on Google Colab, making it accessible to anyone with a modern laptop.

<ASIN:1778042724 >

Author: Andriy Burkov
Publisher: True Positive Inc.
Date: January 2025
Pages: 156
ISBN: 978-1778042720
Print: 1778042724
Kindle: ‎ B0DT413SKG
Audience: Developers interested in AI
Level: Introductory/Intermediate
Category: Artificial Intelligence

Topics include:

• Master the mathematical foundations of modern machine learning and neural networks
• Build and train three architectures of language models in Python
• Understand and code a Transformer language model from scratch in PyTorch
• Work with LLMs, including instruction finetuning and prompt engineering

For recommendations of Python books see Books for Pythonistas and Python Books For Beginners in our Programmer's Bookshelf section.

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