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Related Questions
- How can prompt engineers measure the trade-off between specificity and ambiguity in natural language processing tasks?
- What are the common pitfalls that lead to over-specification or under-specification in prompt engineering?
- How do different types of models, such as transformer-based or rule-based models, affect the balance between specificity and ambiguity in prompt engineering?
- Can you explain the concept of 'prompt leakage' and how it relates to the balance between specificity and ambiguity?
- How do human evaluators and AI models perceive and interpret ambiguous or specific prompts, and how does this impact the balance between the two?
- What is the role of context and prior knowledge in determining the optimal balance between specificity and ambiguity in prompt engineering?
- Can you discuss the relationship between the granularity of prompt engineering and the balance between specificity and ambiguity?
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