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Related Questions
- How can prompt engineers create domain-specific knowledge in AI models without sacrificing general knowledge?
- What strategies can be employed to strike a balance between domain-specific and general knowledge in AI models?
- Can you provide examples of effective prompt engineering techniques for incorporating both domain-specific and general knowledge?
- How do you handle the trade-off between specializing AI models in a particular domain versus maintaining their ability to generalize across domains?
- What role does knowledge graph-based prompting play in balancing domain-specific and general knowledge in AI models?
- Can you discuss the impact of task-specific training data on the balance between domain-specific and general knowledge in AI models?
- What are some common pitfalls to avoid when engineering prompts to balance domain-specific and general knowledge in AI models?
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