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#023 The Power of Rerankers in Modern Search

How AI Is Built

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Multimodal Integration in Machine Learning

This chapter delves into the complexities of aligning various data types, such as text, images, and audio, within vector spaces for enhanced search capabilities. The discussion highlights the benefits of a joint embedding space, while addressing the balance of real and synthetic data in model training. Furthermore, it explores the challenges of ensuring data diversity and quality, emphasizing the potential roles of data miners and rerankers in refining retrieval systems.

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