
Learn Generative AI with PyTorch
Mark Liu(Author)
Manning Publications (Publisher)
Published on 13. December 2024
Book
Hardback
432 pages
978-1-63343-646-6 (ISBN)
Description
Learn how generative AI works by building your very own models that can write coherent text, create realistic images, and even make lifelike music.
Learn Generative AI with PyTorch teaches the underlying mechanics of generative AI by building working AI models from scratch. Throughout, you'll use the intuitive PyTorch framework that's instantly familiar to anyone who's worked with Python data tools. Along the way, you'll master the fundamentals of General Adversarial Networks (GANs), Transformers, Large Language Models (LLMs), variational autoencoders, diffusion models, LangChain, and more!
In Learn Generative AI with PyTorch you'll build these amazing models:
A simple English-to-French translator
A text-generating model as powerful as GPT-2
A diffusion model that produces realistic flower images
Music generators using GANs and Transformers
An image style transfer model
A zero-shot know-it-all agent
The generative AI projects you create use the same underlying techniques and technologies as full-scale models like GPT-4 and Stable Diffusion. You don't need to be a machine learning expert-you can get started with just some basic Python programming skills. About the technology: Transformers, Generative Adversarial Networks (GANs), diffusion models, LLMs, and other powerful deep learning patterns have radically changed the way we manipulate text, images, and sound. Generative AI may seem like magic at first, but with a little Python, the PyTorch framework, and some practice, you can build interesting and useful models that will train and run on your laptop. This book shows you how.
Learn Generative AI with PyTorch teaches the underlying mechanics of generative AI by building working AI models from scratch. Throughout, you'll use the intuitive PyTorch framework that's instantly familiar to anyone who's worked with Python data tools. Along the way, you'll master the fundamentals of General Adversarial Networks (GANs), Transformers, Large Language Models (LLMs), variational autoencoders, diffusion models, LangChain, and more!
In Learn Generative AI with PyTorch you'll build these amazing models:
A simple English-to-French translator
A text-generating model as powerful as GPT-2
A diffusion model that produces realistic flower images
Music generators using GANs and Transformers
An image style transfer model
A zero-shot know-it-all agent
The generative AI projects you create use the same underlying techniques and technologies as full-scale models like GPT-4 and Stable Diffusion. You don't need to be a machine learning expert-you can get started with just some basic Python programming skills. About the technology: Transformers, Generative Adversarial Networks (GANs), diffusion models, LLMs, and other powerful deep learning patterns have radically changed the way we manipulate text, images, and sound. Generative AI may seem like magic at first, but with a little Python, the PyTorch framework, and some practice, you can build interesting and useful models that will train and run on your laptop. This book shows you how.
More details
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Dimensions
Height: 236 mm
Width: 191 mm
Thickness: 27 mm
Weight
734 gr
ISBN-13
978-1-63343-646-6 (9781633436466)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

E-Book
01/2025
1st Edition
Simon + Schuster LLC
€49.44
Available for download
Person
Mark Liu is the founding director of the Master of Science in Finance program at the University of Kentucky.
The technical editor on this book was Emmanuel Maggiori.
The technical editor on this book was Emmanuel Maggiori.