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PERPLEXITY AI - The future of search.

Machine Learning Street Talk (MLST)

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Navigating Relevance in Search Technology

This chapter explores the evolution of relevance ranking in search engines, comparing established techniques to innovative models like retrieval augmented generation. It highlights the crucial aspects of interpretability and user involvement in the curation of information sources, emphasizing the balance between user effort and meaningful interaction. The discussion showcases Perplexity's personalized search interface that fosters a dynamic, engaging discovery experience for users.

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