# Generative AI with Python and PyTorch, 2nd Edition

Edition: Generative AI with Python and PyTorch is a practical guide to generative models, text generation, and image-generation techniques. Its 450 pages cover LLMs, prompting, RAG, LoRA, GANs, and diffusion, with Python coding and basic math and statistics listed as prerequisites.

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- Market: US
- Language: en-US
- Currency: USD
- Category: Books, Music & Hobbies > Books, Music & Movies > Books & Comics
- Price: 32.99 USD
- Previous price: 54.99 USD
- Discount: 40%
- Price checked: 2026-11-14T09:30:52.216Z
- Rating: 4.2 / 5
- Reviews: 26

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## At a glance

- Covers LLM concepts and text-generation approaches alongside computer-vision and image-generation topics.
- Topics include prompt engineering, RAG, LangChain, LlamaIndex, PEFT and LoRA, VAEs, GANs, CLIP, and diffusion models.
- The listing says a free PDF eBook comes with purchase of the print or Kindle book.

## Pros

- Brings language-model application topics and image-generation methods together in one book.
- Includes both conceptual topics such as transformers and hands-on application themes such as RAG and fine-tuning.

## Cons

- The stated prerequisites of Python coding experience and basic math and statistics make this a poor fit for readers seeking a no-prerequisite introduction.

## Specifications

### Book details
- Edition: 2nd ed.
- Publisher: Packt Publishing
- Publication date: March 28, 2025
- Language: English
- Print length: 450 pages
- ISBN-10: 1835884458
- ISBN-13: 978-1835884447
### Dimensions and installation
- Weight listed: 1.71 pounds
- Dimensions: 7.5 x 1.03 x 9.25 inches

## Before you buy

- The listing describes both print and Kindle purchase as including a free PDF eBook. Confirm the applicable edition and delivery details for the selected format before purchasing.

## A good fit for

- Data scientists, machine-learning engineers, and software developers with Python experience who want practical exposure to generative AI.
- Readers looking for a single reference spanning LLM tooling and image generation.

## Less suited to

- Readers new to Python or without basic math and statistics.
- Buyers seeking a narrow, solely theoretical treatment of one model family.

## Customer feedback

Aggregate ratings are generally favorable but not unanimous, with a substantial five-star share alongside some three- and one-star ratings. This gives a limited indication of varied reader satisfaction, but does not identify what readers praised or criticized. The listing's stated breadth may suit readers who want both LLM and image-generation topics, while its Python and math prerequisites are relevant to prospective readers.

## Frequently asked questions

### What does the book cover?
The listing describes LLM foundations, prompt engineering, RAG, fine-tuning with PEFT and LoRA, and image-generation topics including VAEs, GANs, and diffusion models.
### Who is the intended reader?
The listing identifies data scientists, machine-learning engineers, and software developers, and says Python coding experience plus basic math and statistics are required.
### Does the purchase include a PDF eBook?
The listing claims a free PDF eBook is included with purchase of the print or Kindle book. Check the selected format's listing for the applicable fulfillment details.
### How long is the print book?
The listed print length is 450 pages.

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## Add-ons

- [Generative AI with LangChain: Build production-ready LLM applications and advanced agents using Python, LangChain, and LangGraph](https://best-deals.pro/visit/generative-ai-with-langchain-second-edition)
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## Images

![Generative AI with Python and PyTorch, 2nd Edition — 1](https://best-deals.pro/i/tpDzbAY_oxnKrBohBXzWtUBuiRryk_L0kU2LP-m1pbNs2pIBntvaZe5VJ9qqnbP046i1STGcHHw8z6ADa86_JrvjAvRmGQOkL-BsLq0KFydsH_buPkvi.jpg)