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Related Questions
- How can I use diverse and specific task descriptions to reduce task ambiguity and improve model performance?
- What are some techniques for creating prompts that elicit specific and relevant responses without inadvertently introducing bias?
- Can you suggest strategies for avoiding overfitting and underfitting when designing prompts for large language models?
- How can I balance the complexity of a prompt to ensure it is neither too simple nor too complex for the model to understand?
- What is the role of negative examples in prompt design, and how can they be used to improve model generalizability?
- How can I use prompt engineering to deliberately introduce uncertainty and ambiguity to improve model robustness?
- What are some best practices for using analogies and metaphors in prompt design to enhance model understanding?
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