Advances in Multimodal Information Retrieval and Generation

Advances in Multimodal Information Retrieval and Generation
Author :
Publisher : Springer
Total Pages : 0
Release :
ISBN-10 : 3031578155
ISBN-13 : 9783031578151
Rating : 4/5 (55 Downloads)

Book Synopsis Advances in Multimodal Information Retrieval and Generation by : Man Luo

Download or read book Advances in Multimodal Information Retrieval and Generation written by Man Luo and published by Springer. This book was released on 2024-10-11 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an extensive examination of state-of-the-art methods in multimodal retrieval, generation, and the pioneering field of retrieval-augmented generation. The work is rooted in the domain of Transformer-based models, exploring the complexities of blending and interpreting the intricate connections between text and images. The authors present cutting-edge theories, methodologies, and frameworks dedicated to multimodal retrieval and generation, aiming to furnish readers with a comprehensive understanding of the current state and future prospects of multimodal AI. As such, the book is a crucial resource for anyone interested in delving into the intricacies of multimodal retrieval and generation. Serving as a bridge to mastering and leveraging advanced AI technologies in this field, the book is designed for students, researchers, practitioners, and AI aficionados alike, offering the tools needed to expand the horizons of what can be achieved in multimodal artificial intelligence.


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