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Hands-On Generative AI With Transformers and Diffusion Models

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Hands-On Generative AI With Transformers and Diffusion Models Synopsis

Learn to use generative AI techniques to create novel text, images, audio, and even music with this practical, hands-on book. Readers will understand how state-of-the-art generative models work, how to fine-tune and adapt them to their needs, and how to combine existing building blocks to create new models and creative applications in different domains.

This go-to book introduces theoretical concepts followed by guided practical applications, with extensive code samples and easy-to-understand illustrations. You'll learn how to use open source libraries to utilize transformers and diffusion models, conduct code exploration, and study several existing projects to help guide your work.

  • Build and customize models that can generate text and images
  • Explore trade-offs between using a pretrained model and fine-tuning your own model
  • Create and utilize models that can generate, edit, and modify images in any style
  • Customize transformers and diffusion models for multiple creative purposes
  • Train models that can reflect your own unique style

About This Edition

ISBN: 9781098149246
Publication date: 10th December 2024
Author: Omar Sanseviero, Pedro Cuenca, Apolinário Passos, Jonathan Whitaker
Publisher: O'Reilly an imprint of O'Reilly Media
Format: Paperback
Pagination: 416 pages
Genres: Mathematical theory of computation
Artificial intelligence
Information architecture