How can I effectively debug AI models in production?

How can I effectively debug AI models in production?

Debugging AI models in production involves monitoring performance, logging errors, and using tools like A/B testing.

What tools do you recommend for monitoring AI performance?

I recommend using tools like Prometheus for metrics, Grafana for visualization, and Sentry for error tracking.

How can I identify if the model is underperforming?

You can track key performance indicators (KPIs) such as accuracy, precision, and recall, and compare them against benchmarks.

What should I do if I find a bug in the model?

First, isolate the issue, then reproduce it in a controlled environment, and finally, apply fixes and test thoroughly before redeploying.