How can I monitor my deployed AI models effectively?
An example of an AI chatbot conversation about monitoring deployed models.
How can I monitor my deployed AI models effectively?
You can monitor your deployed AI models by tracking performance metrics, logging predictions, and setting up alerts for anomalies.
What specific metrics should I track?
Key metrics include accuracy, precision, recall, F1 score, and latency. It’s also important to monitor input data distribution.
How do I set up alerts for anomalies?
You can use monitoring tools like Prometheus or Grafana to set thresholds for your metrics and trigger alerts when those thresholds are breached.
Can I visualize the performance of my models?
Yes, visualization tools like TensorBoard or custom dashboards can help you visualize model performance over time.
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