An evaluation harness is a structured framework for testing AI models against predefined benchmarks. It standardizes data input, runs consistent assessments, and tracks performance metrics like accuracy or bias. Developers and researchers use it to validate model reliability before deployment, while businesses benefit from assured safety and efficiency. This tool streamlines comparison across iterations, ensuring robust, trustworthy AI systems.
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