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Generative AI with Python and PyTorch
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Generative AI with Python and PyTorch
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Overview of this book
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.
Table of Contents (3 chapters)
Generative AI with Python and PyTorch, Second Edition: Hands-on projects and cutting-edge techniques using generative adversarial networks and LLMs
1 Introduction to Generative AI: “Drawing” Data from Models
2 Building Blocks of Deep Neural Networks
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