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Related Questions
- What is the optimal dataset size for effective domain adaptation in large language models?
- How does the quality of the adaptation dataset impact the model's ability to generalize to new domains?
- What are the trade-offs between dataset size and model capacity in domain adaptation?
- Can a small adaptation dataset be sufficient for domain adaptation if the source and target domains are similar?
- What are the implications of overfitting to the adaptation dataset on the model's performance in new domains?
- How does the adaptation dataset size affect the model's ability to learn transferable representations?
- What are some strategies for selecting a representative adaptation dataset for domain adaptation in large language models?
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