How can I debug my AI model effectively?

How can I debug my AI model effectively?

Debugging an AI model involves checking data quality, model architecture, and training processes. What specific issues are you facing?

I'm getting unexpected results during inference. What should I look into?

Start by reviewing your input data for inconsistencies. Also, check if the model is overfitting or underfitting.

How can I tell if my model is overfitting?

You can check the training and validation loss curves. If the training loss decreases while validation loss increases, it's a sign of overfitting.

What techniques can I use to prevent overfitting?

Consider using techniques like dropout, regularization, or early stopping to help prevent overfitting.