Intro

This chapter explores Brave's advancements in search technology, prioritizing user data privacy while addressing challenges in scaling AI products. It emphasizes the importance of human evaluation and ongoing improvement in the quality of search results amid the fast-paced evolution of AI.

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In this episode of the Cognitive Revolution, join us as we dive into a compelling conversation with Josep M. Pujol, Chief of Search at Brave, about the complexities of developing a privacy-focused search engine. Explore how Brave maintains user data privacy while managing over 1 million searches per hour with an AI-powered system. Gain insights into the significance of human evaluation in AI and learn about the potential of the Brave Search API. Don't miss the shared Google collab notebook link in the show notes!

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Google collab notebook : https://colab.research.google.com/drive/1AxQD-bDePl1l90A_gwvfAGXBIl92ERKy#scrollTo=WrhGZsvbxZy8

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The Brave search API can be used to assemble a data set to train your AI models and help with retrieval augmentation at the time of inference. All while remaining affordable with developer first pricing, integrating the Brave search API into your workflow translates to more ethical data sourcing and more human representative data sets. Try the Brave search API for free for up to 2000 queries per month at https://bit.ly/BraveTCR

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Spotify: https://open.spotify.com/show/6rANlV54GCARLgMOtpkzKt

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