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Related Questions
- How do human evaluators typically evaluate the effectiveness of different prompt types in large language models?
- What are the key factors that influence the effectiveness of open-ended prompts in eliciting desired model responses?
- Can multiple-choice prompts be designed to elicit more informative and accurate responses from language models?
- How do the design and context of yes/no prompts impact the quality of model responses?
- What are some best practices for creating effective yes/no prompts that elicit accurate and useful responses?
- Can human evaluators use metrics such as accuracy and relevance to assess the effectiveness of different prompt types?
- How do the cognitive biases of human evaluators influence their assessment of prompt effectiveness, and what can be done to mitigate these biases?
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