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Related Questions
- What are the key challenges in adapting large language models to new domains and how can they be addressed?
- Can you explain the concept of task similarity and its importance in domain adaptation for large language models?
- How do techniques like multi-task learning and transfer learning help large language models generalize across domains?
- What is the role of data augmentation in improving generalizability of large language models through domain adaptation?
- Can you discuss the trade-off between maintaining task similarity and adapting to new domains in large language models?
- How can domain adaptation techniques be used to improve the robustness of large language models to out-of-domain data?
- What are some common evaluation metrics used to assess the effectiveness of domain adaptation techniques for large language models?
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