Generative AI with Python and PyTorch – 2nd Edition (2025)

 

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Generative AI with Python and PyTorch – 2nd Edition (2025)

Master LLMs, Diffusion Models, GANs & Next-Gen AI Applications

📘 Authors: Raghav Bali, Joseph Babcock
🏢 Publisher: Packt Publishing
📅 Published: March 28, 2025
📄 Pages: 450
🌐 Language: English
📥 Free eBook (PDF) included with print/Kindle purchase

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🚀 Why You Need This Book

Want to build real-world Generative AI applications with Python and PyTorch?
This 2nd edition of Generative AI with Python and PyTorch gives you everything you need to create, fine-tune, and deploy cutting-edge systems using LLMs, GANs, VAEs, CLIP, LangChain, and Stable Diffusion.

From text generation and image synthesis to open-source LLM optimization and prompt engineering, this book is a practical deep dive into the tools that power today’s most transformative AI.

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🔑 Key Features

✅ Implement practical GenAI use cases with GPT-4, Llama, Mistral, and LangChain
✅ Build and optimize text generation pipelines using LLMs, VAEs, and LSTMs
✅ Create AI-generated images using GANs and diffusion models
✅ Apply LoRA, PEFT, RLHF for efficient LLM fine-tuning
✅ Use Retrieval Augmented Generation (RAG) to enhance model output
✅ Master prompt engineering techniques: CoT, ReAct, PQL
✅ Integrate CLIP for vision-language tasks
✅ Build secure and scalable AI pipelines using open-source frameworks

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🧠 What You’ll Learn

• 🔍 How transformers revolutionized NLP
• 💬 How to craft effective prompts that shape LLM responses
• 🖼️ How to generate images with GANs, apply style transfer, and understand diffusion
• ⚙️ How to combine VAE + Diffusion for image synthesis
• 🧱 Build modular, production-grade LLM pipelines
• 🔗 Connect your AI to real-world apps using LangChain + LlamaIndex

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👨‍💻 Who Should Read This?

This book is ideal for:

• ✅ Data scientists wanting to move beyond theory
• ✅ ML engineers building AI apps with real impact
• ✅ Developers interested in GenAI, prompt tuning, and model deployment
• ✅ Anyone with a Python + math background ready to level up

⚠️ This is not for absolute beginners. It assumes basic understanding of Python, machine learning, and model workflows.

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📚 Table of Contents at a Glance

1. Introduction to Generative AI
2. Deep Neural Network Foundations
3. Text Generation Techniques
4. NLP 2.0 – Transformers & Attention
5. Building Large Language Models
6. Open-Source LLMs (Llama, Mistral...)
7. Prompt Engineering Techniques
8. LLM Toolbox (LangChain, RAG, etc.)
9. LoRA, PEFT, RLHF Fine-tuning
10. Emerging GenAI Applications
11. Variational Autoencoders (VAEs)
12. GANs for Image Generation
13. Style Transfer with GANs
14. Deepfakes and Ethics
15. Diffusion Models + CLIP + AI Art

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💬 What Makes This Book Stand Out

✅ Co-written by real-world AI practitioners
✅ Combines theory + project-based learning
✅ Updated with latest GenAI trends of 2025
✅ Ideal companion for building your own LLM assistant, AI art generator, or chatbot

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📥 Ready to Master Generative AI?

📩 👉 CLICK HERE TO DOWNLOAD THE BOOK (PDF LINK)
🎯 Start building the next generation of AI apps — one model at a time.

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📌 This is your all-in-one toolkit to build, fine-tune, and deploy real GenAI systems with Python. Don’t just read about AI — start building it.

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