Evaluation Runs Trend 2026

Evaluation runs are systematic tests that measure an AI model's performance against predefined criteria. Teams use them to compare versions, identify weaknesses, and ensure reliability before deployment. Data scientists, ML engineers, and product managers benefit most, gaining actionable insights to refine prompts, fine-tune models, and maintain quality. These runs streamline iterative development, reducing guesswork and boosting confidence in every release.