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Related Questions
- Can you describe a scenario where a model's inability to handle out-of-domain context leads to a significant decrease in performance?
- How does a model's lack of domain adaptation affect its ability to generalize?
- What are some common challenges that arise when a model is trained on a specific domain and is then applied to a different domain?
- How can a model's performance be improved when it encounters out-of-domain data?
- What are some techniques used to address the issue of out-of-domain context in machine learning models?
- Can you explain how transfer learning can help a model adapt to new domains?
- How does the use of domain-specific data augmentation techniques impact a model's ability to handle out-of-domain context?
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