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Related Questions
- How can I design prompts to avoid amplifying existing biases in medical terminology and jargon in LLMs?
- What are some strategies for incorporating diverse perspectives and experiences into prompt engineering for medical LLMs?
- Can you provide examples of how to reframe medical terminology and jargon to make them more inclusive and accessible to LLMs?
- How can I evaluate the effectiveness of prompt engineering strategies in reducing bias in medical LLMs?
- What role can domain experts play in informing prompt engineering for medical LLMs?
- How can I use prompt engineering to address the lack of representation of certain medical conditions or populations in LLMs?
- What are some best practices for testing and validating the fairness and accuracy of LLMs in medical contexts after prompt engineering?
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