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Related Questions
- What are the key differences between domain adaptation and multi-task learning in the context of large language models (LLMs)?
- Can you explain how domain adaptation enables LLMs to generalize to new domains with minimal training data?
- How does multi-task learning help LLMs learn multiple related tasks simultaneously, and what are its benefits?
- What are some common challenges in domain adaptation, and how can they be addressed in LLMs?
- In what ways do domain adaptation and multi-task learning complement each other in LLMs, and how can they be combined?
- Can you provide examples of successful applications of domain adaptation and multi-task learning in real-world LLMs?
- How do the training objectives and loss functions differ between domain adaptation and multi-task learning in LLMs?
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