What are the best practices for updating AI models?

What are the best practices for updating AI models?

The best practices for updating AI models include regular monitoring, retraining with new data, and validating performance.

How often should I update my AI model?

It depends on the application, but generally, updating every few months or when significant data changes occur is advisable.

What kind of data should I use for retraining?

Use diverse and representative data that reflects the current environment and user behavior to ensure the model remains relevant.

Are there any tools that can help with model updates?

Yes, tools like MLflow, TensorFlow Model Garden, and Kubeflow can assist in managing and automating model updates.

What metrics should I track after an update?

Track metrics like accuracy, precision, recall, and user feedback to evaluate the performance of the updated model.