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Related Questions
- What are the essential domain-specific knowledge and terminology required for effective prompt engineering?
- How do you identify and select relevant concepts in a particular domain to create informative prompts for LLMs?
- What are the key principles of domain adaptation in prompt engineering, and how can they be applied to create high-quality prompts?
- What are the differences between domain-specific and general knowledge prompts, and when to use each?
- How do you balance specificity and generality in domain-specific prompts to avoid ambiguous or misleading responses?
- What are the best practices for integrating domain-specific knowledge into prompt engineering to improve LLM performance?
- Can you provide examples of effective domain-specific prompts for various applications, such as question answering, text classification, and language translation?
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