Fix evaluation bias to unlock better models on Amazon Bedrock

✨ AI Executive Summary Gemini Analysis
Property Finder found that 96.8% of their vision-AI evaluation labels were inherited from the incumbent model, hiding its true accuracy. See how they built unbiased ground truth, applied evolutionary prompt optimization, and selected a more accurate, cost-effective model on Amazon Bedrock, cutting cost by 86% across 11 image-quality attributes.

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  • Original reporting published by AWS Machine Learning Blog.
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