Why is training important for AI models?

Why is training important for AI models?

Training is crucial for AI models as it helps them learn patterns from data, improving their accuracy and performance.

What happens if an AI model isn't trained properly?

If an AI model isn't trained properly, it may produce inaccurate results, make poor predictions, or fail to generalize to new data.

How do you determine the right amount of training data?

The right amount of training data depends on the complexity of the task, the model architecture, and the diversity of the data.

Can you explain overfitting and underfitting?

Overfitting occurs when a model learns noise in the training data, while underfitting happens when it fails to capture the underlying trend.

What techniques can improve training outcomes?

Techniques like data augmentation, regularization, and using pre-trained models can significantly improve training outcomes.