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Related Questions
- How can you structure a prompt to elicit a more accurate response from a large language model?
- What are some common pitfalls to avoid when crafting prompts to prevent common sense errors?
- How can you use context and constraints to minimize the risk of common sense errors in prompts?
- What is the role of specificity in prompt engineering, and how can it help prevent common sense errors?
- How can you use negation and exception handling to improve the accuracy of prompts and reduce common sense errors?
- What are some strategies for testing and validating prompts to ensure they produce accurate and relevant responses?
- How can you use knowledge graph-based approaches to create more accurate and relevant prompts and reduce common sense errors?
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