What is the impact of retraining on AI models?

What is the impact of retraining on AI models?

Retraining AI models can significantly improve their performance by updating them with new data, enhancing accuracy.

Can you explain how often AI models should be retrained?

The frequency of retraining depends on the application and data changes; some models may need retraining weekly, while others annually.

What are the risks of not retraining an AI model?

Not retraining can lead to outdated models that perform poorly, resulting in inaccurate predictions and decisions.

How does retraining affect the model's bias?

Retraining can help reduce bias if new, diverse data is included, but it can also introduce new biases if not managed carefully.

Are there specific techniques for effective retraining?

Yes, techniques like transfer learning, incremental learning, and using ensemble methods can enhance the retraining process.