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Related Questions
- How do you determine the sample size for human evaluation in large language models?
- What are some common biases to watch out for when selecting samples for human evaluation?
- Can you explain the importance of diversity and representativeness in human evaluation samples?
- How do you handle outliers or edge cases in human evaluation samples?
- What are some strategies for ensuring that human evaluators are not biased in their ratings?
- How do you validate the quality of human evaluation samples?
- What are some common pitfalls to avoid when selecting samples for human evaluation in machine learning models?
- Can you discuss the trade-off between sample size and representativeness in human evaluation?
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