ARTFEED — Contemporary Art Intelligence

New Book on Generative AI: Principles, Architectures, and Applications

publication · 2026-08-11

A new book titled 'Generative Models: Principles, Architectures, and Applications' has been published, offering a comprehensive guide to the foundational principles, mathematical underpinnings, and practical architectures of generative AI. The book covers the transformative impact of generative models on digital content creation, including photorealistic images, coherent text, immersive videos, and novel molecular structures. It is designed for readers seeking to understand the revolution in artificial intelligence. The book is listed on arXiv under the Computer Science > Artificial Intelligence category, with an abstract highlighting the emergence of generative AI as a transformative force. The arXiv listing includes submission history, current browse context, references and citations, and tools for bibliographic and citation management. Additionally, the page mentions arXivLabs, a framework for collaborative development of new arXiv features, emphasizing values of openness, community, excellence, and user data privacy. The source URL is https://arxiv.org/abs/2608.08101.

Key facts

  • The book is titled 'Generative Models: Principles, Architectures, and Applications'.
  • It is published on arXiv under Computer Science > Artificial Intelligence.
  • The book covers foundational principles, mathematical underpinnings, and practical architectures of generative AI.
  • Generative models power applications like photorealistic images, coherent text, immersive videos, and novel molecular structures.
  • The abstract describes generative AI as a transformative force in modern artificial intelligence.
  • The arXiv page includes submission history, references, citations, and bibliographic tools.
  • arXivLabs is a framework for collaborators to develop new arXiv features.
  • arXivLabs emphasizes values of openness, community, excellence, and user data privacy.

Entities

Institutions

  • arXiv

Sources