What are some effective techniques for retraining AI models?
There are several effective techniques for retraining AI models, including transfer learning, data augmentation, and fine-tuning.
Can you explain transfer learning in more detail?
Sure! 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 a technique that involves creating new training samples by modifying existing ones, helping to improve model robustness.
How do I decide which technique to use for my model?
The choice of technique depends on your specific use case, the amount of data you have, and the complexity of the task.
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