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Related Questions
- What are the main challenges of domain adaptation in the context of large language models (LLMs)?
- How does domain adaptation affect the quality of training data for LLMs, and what are the implications for model performance?
- Can you explain the concept of domain shift and its role in domain adaptation for LLMs?
- What are some common techniques used for domain adaptation in LLMs, and how do they address the issue of limited training data?
- How does domain adaptation impact the quantity of training data required for LLMs, and what are the trade-offs in terms of model size and complexity?
- What is the relationship between domain adaptation and the concept of inductive bias in machine learning, and how do they interact in LLMs?
- Can you discuss the role of transfer learning in domain adaptation for LLMs, and how it can be used to adapt models to new domains?
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