How often should AI models be tested?

How often should AI models be tested?

AI models should be tested regularly, ideally after every major update or change.

What factors influence the testing frequency?

Factors include the model's application, performance metrics, and the rate of data changes.

Is there a standard testing schedule?

There's no one-size-fits-all schedule, but quarterly reviews are common in many industries.

What are the risks of not testing frequently?

Not testing frequently can lead to outdated models, increased errors, and potential biases.

Can you recommend best practices for AI testing?

Best practices include automated testing, continuous monitoring, and involving diverse datasets.