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Related Questions
- What are the key factors that affect data quality in LLM training, and how can they be measured?
- How does the trade-off between data quality and data quantity impact the performance of LLMs in specific domains?
- What are some strategies for collecting and preprocessing high-quality domain-specific training data for LLMs?
- Can you explain the concept of 'good enough' data and how it relates to the trade-off between data quality and quantity?
- How does the quality of the training data affect the generalizability of LLMs to real-world tasks and scenarios?
- What are the implications of relying on low-quality or noisy training data for LLMs, and how can this impact model performance?
- How can domain experts and data scientists collaborate to develop high-quality, domain-specific training data for LLMs?
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