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Related Questions
- What are the primary differences between domain adaptation and other transfer learning techniques in LLMs?
- How does domain adaptation compare to multi-task learning in terms of flexibility and accuracy?
- Can you explain the trade-offs between domain adaptation and self-supervised learning in terms of data efficiency and interpretability?
- What are the key advantages and disadvantages of using domain adaptation versus few-shot learning in LLMs?
- How does domain adaptation handle out-of-distribution (OOD) data, and what are the implications for LLMs?
- Can you discuss the trade-offs between domain adaptation and meta-learning in terms of adaptability and generalizability?
- What are the key challenges and limitations of domain adaptation in LLMs, and how can they be addressed?
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