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Related Questions
- What are some examples of ambiguous or unclear prompts that may lead to inaccurate or incomplete responses from a large language model?
- How can I ensure that my intent-based prompts are specific and unambiguous to get accurate and relevant responses from a large language model?
- What are some common pitfalls to avoid when using natural language to express intent, such as relying on context or assuming prior knowledge?
- How can I structure my intent-based prompts to minimize the risk of leading questions or biased language?
- What are some best practices for testing and refining intent-based prompts to ensure they are effective and produce accurate responses?
- How can I handle situations where a large language model produces an unexpected or nonsensical response due to an ambiguous or poorly crafted prompt?
- What are some strategies for using negative language or exclusions in intent-based prompts to narrow down the response space and avoid irrelevant answers?
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