What are some effective techniques for fine-tuning AI models?

What are some effective techniques for fine-tuning AI models?

Fine-tuning AI models can involve several techniques, such as transfer learning, data augmentation, and hyperparameter tuning.

Can you explain transfer learning in more detail?

Transfer learning involves taking a pre-trained model and adapting it to a new, but related task, which can save time and resources.

What is data augmentation and how does it help?

Data augmentation is the process of creating new training samples by modifying existing ones, which helps improve model robustness.

How do I choose the right hyperparameters for my model?

Choosing hyperparameters often involves techniques like grid search, random search, or using Bayesian optimization to find optimal values.