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AI AMA – Part 1: OpenAI’s o3, Deliberative Alignment, and AI Surprises of 2024

"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis

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Don’t Settle for Basic Searches: Aim for Quality Insights

The effectiveness of Retrieval-Augmented Generation (RAG) is currently limited by an over-reliance on simplistic database fetches that often yield subpar accuracy. While a conventional vector database may seem convenient, it fails to deliver the quality of insights necessary for optimal performance. A more robust approach involves investing in comprehensive keyword searches that utilize advanced language models, despite the increased costs associated with this method. This strategy not only enhances relevance and accuracy in the responses but also addresses the shortcomings of traditional methods, which have not met expectations. Emphasizing the need for nuanced and thoughtful approaches to information retrieval can drive better outcomes.

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