101 Generative AI Projects Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs: A Hands-On Journey Through 101 Generative AI Projects Project Examples
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Paperback
En stock
1.57 kg
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Nuevo
Amazon
USA
- Ready to go beyond the hype and actually build with AI? This book is your complete hands-on guide to creating text generators, image transformers, voice models, chatbots, and more — all using open-source tools, local models, and step-by-step instructions.Perfect for learners, makers, and engineers, this project-based guide walks you from the basics of running a simple language model on your laptop to advanced fine-tuning, multimodal workflows, and real deployment techniques. Every chapter is a self-contained project — complete with Python code, environment setup, and friendly guidance to help you get it running, even if it’s your first time touching machine learning.No cloud subscriptions required — all models run locally with instructions for managing memory, CUDA, and disk space. Whether you’re using 8GB, 12GB, or 24GB GPUs, this book shows how to adapt and optimize your workflow accordingly.You’ll learn by doing — not just theory. Build tools like:A local GPT-2 text generator with editable promptsAn image generator that creates AI stickers and thumbnails from your ideasA subtitle tool that transcribes videos with WhisperYour own chatbot, trained on custom documents using RAG and FAISSVoice dubbing systems, style-transfer tools, and even AI-powered comicsDeployable AI apps with Docker, ONNX, and secure API tokensFine-tuning pipelines for LLaMA 2, StableLM, and T5Tools to explore AI bias, watermark generation, and moreWhat makes this book different? Every project is designed to run — with detailed troubleshooting, beginner-friendly explanations, and real solutions to common problems. You’ll finish each chapter with something tangible you’ve built yourself.
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