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Related Questions
- How does the lack of handling out-of-domain data impact the performance of a domain-specific model?
- What are the potential risks of a domain-specific model assigning incorrect labels to out-of-domain data?
- Can you explain the concept of domain drift and its relation to out-of-domain data in machine learning models?
- What are some strategies for handling out-of-domain data in domain-specific models to prevent performance degradation?
- How does the presence of out-of-domain data affect the interpretability of model predictions in a domain-specific model?
- What are the potential consequences of ignoring out-of-domain data in the training process of a domain-specific model?
- Can you discuss the trade-offs between model performance and out-of-domain handling in domain-specific models?
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