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Related Questions
- Can human evaluators assess prompt quality without any prior knowledge of the model's capabilities?
- How do human evaluators determine the quality of a prompt without knowing the model's strengths and weaknesses?
- Can evaluators effectively assess prompt quality without having prior knowledge of the model's architecture or training data?
- What are the key factors that human evaluators should consider when assessing prompt quality without prior knowledge of the model's capabilities?
- Can human evaluators learn to assess prompt quality through experience and training, even without prior knowledge of the model's capabilities?
- How does prior knowledge of the model's capabilities influence the ability of human evaluators to assess prompt quality?
- Can human evaluators develop a general framework for assessing prompt quality that is independent of the model's specific capabilities?
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