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Related Questions
- How can you balance specificity and generality in NLP prompts to avoid ambiguity?
- What are some techniques for refining NLP prompts to improve model performance without over-restricting the output?
- Can you provide examples of NLP prompts that demonstrate a balance between precision and breadth?
- What are some strategies for using negative examples or edge cases in NLP prompts to improve model robustness?
- How can you use contextual information to inform and refine NLP prompts?
- What are some best practices for using natural language to craft NLP prompts that are both precise and inclusive?
- Can you discuss the trade-offs between using generic vs. specific language in NLP prompts and how to optimize for the desired outcome?
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