Mastering Vision Transformers and Multimodal AI (Paperback)
Language: English
Published by Independently Published, 2026
- Softcover
- New
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
AbeBooks seller since October 12, 2005
Condition: New
£ 19.22
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Add to basketItem description from seller
Paperback. Mastering Vision Transformers and Multimodal AI: Architecting Real-World Scene Reasoning, Self-Correcting Systems, and Large Vision-Language Models Beyond CNNsStill building vision systems that recognize objects but fail to understand scenes, explain decisions, or adapt when reality gets messy? That gap is exactly where many modern AI projects stall. As computer vision moves beyond CNN-centered pipelines, engineers need systems that can reason across spatial relationships, connect images to language, catch their own mistakes, and operate in production with confidence.Mastering Vision Transformers and Multimodal AI shows you how to design that next generation of intelligent visual systems. This book brings together Vision Transformers, multimodal alignment, large vision-language models, self-correcting inference, visual retrieval pipelines, video reasoning, synthetic data generation, and edge deployment into one practical roadmap for building AI that sees, understands, and acts.Inside, you'll learn how to architect transformer-based vision models for complex real-world environments, build multimodal systems that align images and language effectively, fine-tune large vision-language models efficiently, and create visual reasoning pipelines that support scene understanding, technical document analysis, and grounded outputs. You'll also gain the skills to design self-correcting systems, production-ready visual RAG workflows, temporal video reasoning stacks, and scalable deployment paths for edge and cloud inference.Whether you're working on industrial inspection, autonomous monitoring, multimodal assistants, scene intelligence, or next-generation computer vision research, this book helps you move from isolated model performance to complete, reliable AI systems. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…
Seller Inventory # 9798257234798
- Title
- Mastering Vision Transformers and Multimodal AI (Paperback)
- Author
- Ethan Tyson
- Publisher
- Independently Published
- Publication year
- 2026
- Condition
- new
- Binding
- Paperback
- Language
- English
- ISBN 13
- 9798257234798
Mastering Vision Transformers and Multimodal AI: Architecting Real-World Scene Reasoning, Self-Correcting Systems, and Large Vision-Language Models Beyond CNNs
Still building vision systems that recognize objects but fail to understand scenes, explain decisions, or adapt when reality gets messy? That gap is exactly where many modern AI projects stall. As computer vision moves beyond CNN-centered pipelines, engineers need systems that can reason across spatial relationships, connect images to language, catch their own mistakes, and operate in production with confidence.
Mastering Vision Transformers and Multimodal AI shows you how to design that next generation of intelligent visual systems. This book brings together Vision Transformers, multimodal alignment, large vision-language models, self-correcting inference, visual retrieval pipelines, video reasoning, synthetic data generation, and edge deployment into one practical roadmap for building AI that sees, understands, and acts.
Inside, you’ll learn how to architect transformer-based vision models for complex real-world environments, build multimodal systems that align images and language effectively, fine-tune large vision-language models efficiently, and create visual reasoning pipelines that support scene understanding, technical document analysis, and grounded outputs. You’ll also gain the skills to design self-correcting systems, production-ready visual RAG workflows, temporal video reasoning stacks, and scalable deployment paths for edge and cloud inference.
Whether you’re working on industrial inspection, autonomous monitoring, multimodal assistants, scene intelligence, or next-generation computer vision research, this book helps you move from isolated model performance to complete, reliable AI systems.
"Synopsis" may belong to another edition of this title.
Grand Eagle Retail
Bensenville, IL, U.S.A.
AbeBooks seller since October 12, 2005
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