An evaluation stack is a layered set of tools and frameworks for systematically assessing AI models, software, or programs. Teams use it to run tests, compare outputs, and track performance across development stages. It benefits ML engineers, data scientists, and product managers seeking reliable, reproducible quality checks before deployment.
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