Ground truth curation and metric interpretation best practices for evaluating generative AI question answering using FMEval
AWS Machine Learning
SEPTEMBER 6, 2024
In this post, we discuss best practices for working with FMEval in ground truth curation and metric interpretation for evaluating question answering applications for factual knowledge and quality. Ground truth data in AI refers to data that is known to be true, representing the expected outcome for the system being modeled.
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