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Related Questions
- How can I design LLM prompts to account for nuanced and context-dependent meanings of words?
- What are some strategies for injecting uncertainty into LLM prompts to encourage more exploratory and creative responses?
- Can you provide examples of LLM prompts that incorporate ambiguity to elicit more human-like and context-specific responses?
- How can I use open-ended and vague prompts to encourage LLMs to generate more innovative and flexible solutions?
- What are some techniques for creating LLM prompts that capture the nuances of human language, such as idioms, sarcasm, and figurative language?
- Can you discuss the role of ambiguity in LLM prompts in facilitating more effective transfer learning and generalization?
- How can I balance the level of specificity and vagueness in LLM prompts to achieve the optimal trade-off between accuracy and generality?
- What are some best practices for using ambiguity and uncertainty in LLM prompts to mitigate the problem of overfitting and improve model robustness?
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