Fix evaluation bias to unlock better models on Amazon Bedrock.

Property Finder found that 96.8% of its vision-AI evaluation labels were inherited from the incumbent model, which hid that model's true accuracy, and built unbiased ground truth instead, applying evolutionary prompt optimization to select a more accurate model on Amazon Bedrock.

Why it matters: Evaluation labels copied from an existing model can mask its real accuracy and skew model selection.

Written by AI from AWS Machine Learning Blog's published text.