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Related Questions
- What is domain adaptation and its importance in AI model development?
- How does domain adaptation address the issue of data distribution shift between training and testing data?
- Can you provide examples of real-world applications where domain adaptation is used to adapt AI models to new data distributions?
- What are the key challenges in domain adaptation, and how are they addressed in the field?
- How does domain adaptation differ from transfer learning, and when would you use one over the other?
- What are some common techniques used in domain adaptation, such as adversarial training and multi-task learning?
- Can you explain the concept of a domain adaptation pipeline and its components, and how they work together to adapt AI models?
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