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Advances in Multimodal Information Retrieval and Generation

By Man Luo

Product Image: Advances in Multimodal Information Retrieval and Generation

Advances in Multimodal Information Retrieval and Generation

By Man Luo

0 - Default Title
Description
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.
Product details
Binding:
Paperback
Number of Pages:
172
Release Date:
2025-06-27
Publication Date:
2025-06-27
Publisher:
Springer
Languages:
Original: English
ISBN10:
303157818X
ISBN13:
9783031578182
GPSR Manufacturer Reference:
[email protected]
Weight:
300 g
Height:
168 cm
Width:
240 cm
Thickness:
10 cm
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