Evals
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▲ 1 active in the last 90 days
A methodology for evaluating AI model outputs by defining success criteria, creating test datasets, and using quantitative scoring to measure and improve AI product quality.
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"In the beginning of the year we really invested in using our subject matter experts, the folks who ran security and compliance programs at other companies, to write the eval frameworks and then eval their evals."
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