Overview

PyTorch for Generative AI: Building LLMs, Diffusion Models, and Agents from Scratch Unlock the full power of modern Generative AI with this practical, beginner-friendly, and fully hands-on guide to building intelligent systems using PyTorch. Whether you are a student, developer, researcher, or AI enthusiast, this book gives you everything you need to master today's most important AI technologies-from Large Language Models to Diffusion Models and autonomous AI agents. What You Will Learn - How PyTorch works, from tensors to neural networks - How to train language models from scratch - How to build transformers, attention mechanisms, and full LLM architectures - How to implement Stable-Diffusion-style image generators - How to construct multimodal and hybrid generative systems - How to train and deploy intelligent agents powered by LLMs - Practical optimization, fine-tuning, and evaluation techniques - Real-world workflows for deploying generative AI models in production Who This Book Is For This book is perfect for: - Beginners learning PyTorch for the first time - Developers transitioning into AI or machine learning - Researchers building custom generative AI models - Professionals looking to understand LLMs and diffusion systems - Anyone excited about creating AI that generates text, images, and actions Why This Book Stands Out - Clear, step-by-step explanations - Complete PyTorch implementations - Production-ready examples and best practices - A perfect balance of theory and practical coding - Covers the full generative AI pipeline-from data to deployment Build the Future of AI Generative AI skills are now essential across industries. With this book, you gain the foundational knowledge and hands-on experience to create powerful models and intelligent systems that shape the next era of technology. If you want to build LLMs, diffusion models, and AI agents with confidence, this is the guide you've been looking for.

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