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Related Questions
- How do you craft clear and specific prompts to elicit relevant common sense or world knowledge from NLP models?
- What strategies do you employ to minimize ambiguity in your prompts and encourage accurate responses?
- How do you balance the level of detail and specificity in your prompts to avoid over- or under-specifying the desired knowledge?
- What techniques do you use to detect and mitigate the impact of contextual biases or assumptions in your prompts?
- How do you ensure that your prompts are free from leading or suggestive language that might influence the model's response?
- What role does active learning play in refining and optimizing your prompts to improve the accuracy of NLP model outputs?
- How do you evaluate the effectiveness of your prompts in extracting accurate common sense or world knowledge from NLP models?
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