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Related Questions
- What are the common techniques used to handle domain shift in pre-trained models?
- Can you explain the concept of concept drift and how it affects pre-trained models?
- How do pre-trained models adapt to changes in the data distribution over time?
- What are the implications of domain shift and concept drift on the performance of pre-trained models?
- Are there any techniques to detect domain shift and concept drift in pre-trained models?
- How do pre-trained models handle out-of-distribution data?
- Can you discuss the role of fine-tuning in adapting pre-trained models to new domains or concepts?
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