Hands-On Generative AI with Transformers and Diffusion Models
Hands-On Generative AI with Transformers and Diffusion Models by Omar Sanseviero, Pedro Cuenca, Apolinário Passos, Jonathan Whitaker
English | December 31st, 2024 | ISBN: 1098149246 | 416 pages | True EPUB | 25.02 MB
English | December 31st, 2024 | ISBN: 1098149246 | 416 pages | True EPUB | 25.02 MB
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
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