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Related Questions
- What is domain shift in the context of machine learning, and how does it impact model performance?
- Can you provide examples of domain shift in language models, such as differences in vocabulary or tone?
- How does transfer learning help address domain shift in language models, and what are its benefits?
- What are some common techniques used to adapt language models to new domains, such as fine-tuning or data augmentation?
- Can you explain the concept of 'in-domain' vs 'out-of-domain' data, and how it relates to domain shift?
- How does domain shift affect the generalization of language models to new tasks or applications?
- What are some strategies for mitigating domain shift in language models, such as using multimodal data or incorporating external knowledge?
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