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Related Questions
- What are the primary factors that contribute to a pre-trained model's ability to generalize across domains?
- How does domain shift impact the performance of pre-trained models, and what can be done to mitigate this effect?
- What role does data quality play in a pre-trained model's ability to adapt to new domains?
- Can you explain the impact of feature drift on pre-trained models, and how can it be addressed?
- What are some common techniques used to adapt pre-trained models to new domains, and what are their strengths and limitations?
- How does the size and complexity of a pre-trained model affect its ability to adapt to new domains?
- What is the relationship between pre-trained model fine-tuning and its ability to generalize across domains?
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