When Predictions Start to Drift: Monitoring Model Behavior in Production
中文摘要
本文探讨如何在生产环境中监控AI模型，以应对输入数据正常但预测出现漂移的问题。
English Summary
This article discusses monitoring AI model behavior in production to detect prediction drift when inputs appear normal but outputs behave unexpectedly.
Original Excerpt
Your Inputs Look Fine — But Your Model Is Acting Strange Continue reading on Medium »