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Related Questions
- What are the key differences between domain adaptation and transfer learning in the context of LLMs?
- How does domain adaptation address the issue of limited training data in new domains?
- What are some common techniques used for domain adaptation in LLMs, such as data augmentation or multi-task learning?
- What are the challenges of adapting pre-trained LLMs to new domains with significantly different linguistic or cultural characteristics?
- How can domain adaptation be used to improve the performance of LLMs on out-of-domain tasks, such as cross-lingual or cross-genre text classification?
- What are some common evaluation metrics used to assess the performance of domain-adapted LLMs?
- How can domain adaptation be used to reduce the need for large amounts of labeled data in new domains, and what are the implications for LLM development?
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