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Related Questions
- What are some key factors to consider when selecting a dataset for fine-tuning a language model in a specific domain?
- How can data curation and preprocessing affect model performance in domain-specific language models?
- What are some strategies for collecting high-quality training data for fine-tuning a language model in a particular domain?
- What are the implications of using low-quality training data on the performance of a domain-specific language model?
- Can you discuss the trade-off between model performance and data quality in the context of fine-tuning language models for specific domains?
- How can we assess the quality of training data for a domain-specific language model, and what are some common pitfalls to avoid?
- What role does domain adaptation play in fine-tuning language models for specific domains, and how can it impact model performance?
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