What are the best training practices for AI models?

What are the best training practices for AI models?

The best training practices include using diverse datasets, regularization techniques, and proper validation methods.

Can you explain why diverse datasets are important?

Diverse datasets help the model generalize better and reduce bias, leading to more accurate predictions.

What regularization techniques should I consider?

Common regularization techniques include L1 and L2 regularization, dropout, and early stopping.

How do I know if my model is overfitting?

You can check for overfitting by comparing training and validation loss; if training loss decreases while validation loss increases, overfitting may be occurring.