How can I troubleshoot my AI model?

I'm having issues with my AI model not producing accurate results. What should I do?

First, let's check the data quality. Are you using clean and relevant data for training?

Yes, but I think the model might be overfitting. How can I tell?

You can check the training and validation loss. If the training loss is low but validation loss is high, it's likely overfitting.

What techniques can I use to prevent overfitting?

Consider using techniques like dropout, regularization, or gathering more training data to improve generalization.

Thanks! I'll try those methods. What if the model still doesn't perform well?

If issues persist, you might want to revisit your model architecture or consider hyperparameter tuning.