Become an expert in generative AI through practical projects to leverage cutting-edge models for Natural Language Processing (NLP) and computer vision. Generative AI with Python and PyTorch, Second Edition, is your comprehensive guide to creating advanced AI applications. Leveraging Python, this book provides a detailed exploration of the latest generative AI technologies.

From NLP to image generation, this edition dives into practical applications and the underlying theories that enable these technologies. By integrating the latest advancements and applications of large language models, this book prepares you to design and implement powerful AI systems that transform data into actionable insights.

You’ll build your LLM toolbox by learning about various models, tools, and techniques, including GPT-4, LangChain, RLHF, LoRA, and retrieval augmented generation. This deep learning book shows you how to generate images and apply styler transfer using GANs, before implementing CLIP and diffusion models.

Whether you’re creating dynamic content or developing complex AI-driven solutions, Generative AI with Python and PyTorch, Second Edition, equips you with the knowledge to use Python and AI to their full potential.

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Spis treści

Generative AI with Python and PyTorch. Hands-on projects and cutting-edge techniques using generative adversarial networks and LLMs - Second Edition eBook -- spis treści

• 1. An Introduction to Generative AI: Drawing Data from Models
• 2. Building Blocks of Deep Neural Networks
• 3. The Rise of Methods for Text Generation
• 4. NLP 2.0: Using Transformers to Generate Text
• 5. Foundations of LLMs
• 6. Open Source LLMs
• 7. Prompt Engineering
• 8. LLM Toolbox/Ecosystem
• 9. LLM Optimisation Techniques
• 10. Emerging Applications in Generative AI
• 11. Neural Networks Using VAEs
• 12. Image Generation with GANs
• 13. Style Transfer with GANs
• 14. Deepfakes with GANs
• 15. Diffusion Models and AI Art