Evaluations (Evals)

Topic

In machine learning and artificial intelligence, evaluations (commonly referred to as evals) are systematic frameworks and tests used to measure the performance, accuracy, safety, and capabilities of models. They involve assessing how well an AI system or agent performs specific tasks, makes decisions, and interacts with users or other systems. Evals are critical for validating model behavior, identifying failures, and ensuring alignment before deployment.