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Related Questions
- How do I create balanced prompts that capture both contextual specificity and generic knowledge for a language model?
- What are the common pitfalls to avoid when designing prompts that require a balance between contextual information and general knowledge?
- How can I ensure that my prompts are not too narrow or too broad, and instead strike a balance between specificity and generality?
- What techniques can I use to inject contextual information into prompts while still allowing the model to apply general knowledge?
- How do I measure the effectiveness of my prompts in capturing the right balance between contextual specificity and generic knowledge?
- What role does prompt engineering play in achieving a balance between contextual specificity and generic knowledge in language models?
- Can you provide examples of successful prompts that demonstrate a good balance between contextual specificity and generic knowledge?
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