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Related Questions
- What are the key techniques used in transfer learning to adapt AI models to new data distributions?
- How do meta-learning algorithms enable AI models to quickly adapt to new tasks and environments?
- What is the role of regularization techniques in preventing overfitting and enabling AI models to generalize to new data distributions?
- Can you explain the concept of domain adaptation and how it is used to adapt AI models to new data distributions?
- How do ensemble methods, such as bagging and boosting, help AI models adapt to new data distributions?
- What is the difference between online and offline learning, and how do they impact an AI model's ability to adapt to new data distributions?
- Can you discuss the use of adversarial training in adapting AI models to new data distributions and potential challenges associated with it?
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