How often should AI models be trained?

How often should AI models be trained?

The frequency of training AI models depends on various factors, including the type of model, the data availability, and the specific application. Generally, models should be retrained regularly to adapt to new data.

What factors influence the training frequency?

Key factors include the rate of data change, the model's performance over time, and the computational resources available. If your data changes frequently, more frequent training may be necessary.

Is there a standard schedule for retraining?

There isn't a one-size-fits-all schedule, but many organizations retrain models monthly or quarterly, depending on their needs.

What happens if I don't retrain my model?

If you don't retrain your model, it may become outdated and less accurate as new data emerges, leading to poor performance.

Can I automate the retraining process?

Yes, many platforms offer automation tools that can schedule and execute retraining based on predefined criteria.