What is the ideal size of training data for AI models?

What is the ideal size of training data for AI models?

The ideal size of training data can vary widely depending on the complexity of the model and the task. Generally, more data leads to better performance.

Are there any specific guidelines for different types of AI models?

Yes, for simpler models, a few thousand examples might suffice, while deep learning models often require millions of examples.

What happens if the training data is too small?

If the training data is too small, the model may overfit, meaning it learns the training data too well and performs poorly on new data.

How can I determine if I have enough training data?

You can evaluate model performance using validation data. If performance plateaus or degrades with more data, you might have enough.

Are there techniques to augment training data?

Yes, techniques like data augmentation, synthetic data generation, and transfer learning can help increase the effective size of your training dataset.