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Related Questions
- What are the key differences between domain adaptation and transfer learning in machine learning?
- How does domain adaptation help improve the performance of language models in specific domains?
- Can you explain the concept of source and target domains in domain adaptation, and how they relate to language models?
- What are some common techniques used for domain adaptation in language models, such as data augmentation and adversarial training?
- How does domain adaptation address the issue of out-of-domain data in language models, and what are some strategies for mitigating this issue?
- What are the challenges and limitations of domain adaptation in language models, such as the need for large amounts of domain-specific data?
- Can you provide some real-world examples of domain adaptation in language models, such as adapting a model for a specific industry or domain?
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