AI System Quality & Performance Testing

AI Quality Testing focuses on the operational excellence, reliability, and efficiency of machine learning models in production. Unlike security testing which focuses on malicious intent, quality testing ensures that the system meets its functional requirements, provides accurate and faithful information, and remains cost-effective. As LLMs are non-deterministic by nature, quality testing requires probabilistic evaluation frameworks (Evals) to maintain a high standard of user experience.