Model Evaluation measures how accurately and reliably an AI model performs using predefined metrics, benchmark datasets, or real-world production data.
Voice AI teams evaluate speech recognition, language models, and speech synthesis using accuracy, latency, hallucination rate, customer satisfaction, and task completion metrics before production deployment.