What is the process of retraining AI models?

What is the process of retraining AI models?

Retraining AI models involves updating them with new data to improve their performance and accuracy.

Why is it important to retrain AI models regularly?

Regular retraining helps the model adapt to new patterns and changes in data, ensuring it remains relevant and effective.

What kind of data do I need for retraining?

You need high-quality, labeled data that reflects the current trends and scenarios the model will encounter.

How often should I consider retraining my AI model?

It depends on the application, but generally, models should be retrained whenever there is significant data drift or every few months.

Can retraining improve the model's accuracy?

Yes, retraining can significantly improve accuracy by allowing the model to learn from new examples and correct previous errors.