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Related Questions
- What criteria would you use to determine the quality of a prompt?
- Can human evaluators assess prompt quality without prior knowledge of the model's capabilities?
- How many human evaluators would you need to get a representative assessment of prompt quality?
- What potential biases should human evaluators be aware of when evaluating prompt quality?
- Can human evaluators assess the effectiveness of different prompt types (e.g. open-ended, yes/no, multiple-choice) in eliciting desired model responses?
- How would you ensure human evaluators are consistent in their evaluations across different prompts?
- Are there any specific tools or methodologies that can aid human evaluators in assessing prompt quality effectively?
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