What is generalization in AI?
An example of an AI chatbot conversation about generalization in artificial intelligence.
What is generalization in AI?
Generalization in AI refers to the ability of a model to perform well on unseen data, not just the data it was trained on.
Why is generalization important for machine learning models?
It's crucial because it determines how well a model can apply its learned knowledge to new, real-world situations.
Can you give an example of generalization in AI?
Sure! For instance, if a model is trained to recognize cats in images, it should be able to identify cats in new images it hasn't seen before.
What are some techniques to improve generalization?
Techniques include using more diverse training data, regularization methods, and cross-validation to ensure robustness.
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