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I want to detect and respond early to degradation in the response quality and performance of generative AI in production. Which mechanisms on AWS are effective?
①Manually check all outputs each time there is an inquiry.
②Stop the service and visually inspect the logs weekly.
③Ignore user feedback and perform only regular updates.
④Detect anomalies through automated log collection and metrics monitoring.
⑤If a problem arises, do nothing until retraining begins.