What are some effective techniques for generalization in AI?
An example of an AI chatbot conversation about techniques for generalization in AI.
What are some effective techniques for generalization in AI?
Some effective techniques include regularization, data augmentation, and cross-validation.
Can you explain how regularization helps with generalization?
Regularization adds a penalty for complexity in the model, helping to prevent overfitting.
What is data augmentation and how does it work?
Data augmentation involves creating modified versions of training data to improve model robustness.
How does cross-validation contribute to better generalization?
Cross-validation helps assess model performance on unseen data, ensuring it generalizes well.
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