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Related Questions
- What are the limitations of domain-specific training on a model's ability to generalize to out-of-domain data?
- How does the extent of domain-specific training impact the model's performance on unseen data?
- Can you explain the concept of 'domain shift' and its implications on model performance?
- What are some techniques used to mitigate the negative effects of domain-specific training on out-of-domain performance?
- How does the choice of hyperparameters affect the model's ability to generalize across domains?
- Can you discuss the trade-offs between domain-specific training and self-supervised learning?
- What are some real-world applications where the effects of domain-specific training on out-of-domain data are particularly relevant?
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