A controlled experiment that compares the performance of two or more model versions by routing live traffic between them and measuring business and technical metrics. A/B testing is essential for validating that a new model version improves outcomes before full rollout.
预约一次探索通话,探讨这些 AI 概念如何转化到您所在的具体行业与业务挑战中。