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Related Questions
- How can you ensure that your language model is not misinterpreting the intent behind a prompt with abstract concepts like emotions or metaphors?
- What strategies can you use to clarify the meaning of vague or open-ended prompts in your model's training data?
- How can you design prompts that avoid ambiguity and lead to more accurate and relevant responses from your language model?
- What are some common pitfalls to watch out for when working with abstract concepts in prompt engineering?
- Can you provide examples of how to rephrase ambiguous prompts to make them more specific and clear?
- How can you validate the effectiveness of your prompt design in avoiding ambiguity and ensuring accurate responses?
- What role does context play in reducing ambiguity in prompts, and how can you incorporate context into your prompt design?
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