Multimodal Generative AI : Architecture Models, Enabling Technologies, and Industrial Use Cases
Overview
It all started with predictive AI. Now we are in the pulsating era of generative AI. A wider variety of natural language processing, understanding, and generation (NLP/U/G) use cases are being accomplished through generative AI technologies and tools. The faster maturity and stability of language models (large, small, and vision) are leading to the envisionment and implementation of innovative and disruptive services. Language models are equipped to handle multimodal data (textual, visual, and audio) to enable multimodal AI applications. Every industry vertical is keenly building sophisticated AI products and solutions. This book is specifically designed to convey the key drivers, architectural patterns, and industrial use cases in the era of multimodal generative AI. Readers will encounter chapters dedicated to demystifying the cutting-edge technologies and tools for building, deploying, observing, managing, and improving resilient, versatile, and path-breaking intelligent systems that drive business transformation and people empowerment. This book is definitely a hand-holding guide in insightfully inspiring our esteemed readers.
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Details
- ISBN-13: 9781036478087
- ISBN-10: 1036478084
- Publisher: Cambridge Scholars Publishing
- Publish Date: August 2026
- Dimensions: 8 x 6 x 1.2 inches
- Shipping Weight: 1.7 pounds
- Page Count: 540
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