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Related Questions
- What are some common pitfalls to avoid when designing prompts to mitigate bias in AI models?
- Can you provide examples of well-crafted prompts that reduce bias in model outputs?
- How does the use of specific language and phrasing in prompts impact the accuracy of model outputs?
- What role do contextual clues play in reducing bias in model outputs, and how can they be incorporated into prompts?
- Can you discuss the importance of active learning and iterative refinement in prompt engineering for bias mitigation?
- How can prompt engineering be used to address intersectional bias in AI models?
- What are some best practices for testing and validating the effectiveness of bias-reducing prompts?
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