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Related Questions
- How can prompt engineering help domain-specific LLMs learn from general-purpose LLMs?
- What are some strategies for designing prompts that bridge the knowledge gap between general-purpose and domain-specific LLMs?
- Can you provide examples of how prompt engineering has been used to adapt general-purpose LLMs for specific domains?
- What role does contextual understanding play in reducing the knowledge gap between general-purpose and domain-specific LLMs?
- How can prompt engineering help domain-specific LLMs generalize knowledge from general-purpose LLMs?
- What are some common pitfalls to avoid when using prompt engineering to bridge the knowledge gap between general-purpose and domain-specific LLMs?
- Can you discuss the potential benefits of using a hybrid approach that combines general-purpose and domain-specific LLMs with prompt engineering?
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