Quality assurance (QA) in AI is a quality management and control system for the entire life cycle of AI models, covering dataset quality inspection, model training monitoring, inference performance testing, generalization ability verification, production environment inspection and other links to ensure the accuracy, stability, safety and business availability of AI systems.
