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Related Questions
- What are the common techniques used by pre-trained models to handle out-of-domain data?
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- What are the implications of out-of-domain data on the performance of pre-trained models?
- Can pre-trained models learn to recognize out-of-domain data and adjust their performance accordingly?
- How do pre-trained models handle concept drift in out-of-domain data?
- What are the trade-offs between adaptability and robustness in pre-trained models when dealing with out-of-domain data?
- What are some strategies for fine-tuning pre-trained models to improve their performance on out-of-domain data?
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