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Related Questions
- How can you generate prompts that capture nuanced contexts and subtle differences in meaning?
- What are some techniques for creating prompts that elicit diverse and creative responses from large language models?
- How can you design prompts to minimize task similarity and encourage the model to explore novel concepts and ideas?
- What are some strategies for creating prompts that are robust to ambiguity and uncertainty, and can handle multiple possible interpretations?
- How can you use prompt engineering to create a sense of surprise or unexpectedness in the model's responses?
- What are some ways to incorporate real-world constraints and limitations into prompts to make them more realistic and relevant?
- How can you use prompt engineering to create a sense of narrative or storytelling in the model's responses, and what are the benefits and challenges of doing so?
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