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Related Questions
- What are some common sources of representation bias in language models?
- How can prompt engineering techniques, such as data augmentation and sampling, help reduce representation bias?
- Can you provide examples of how to design more inclusive prompts to mitigate representation bias?
- What role can human evaluation and feedback play in identifying and addressing representation bias in language models?
- How can prompt engineering help address intersectional representation bias, where multiple biases intersect?
- What are some best practices for evaluating the effectiveness of prompt engineering techniques in reducing representation bias?
- Can you discuss the potential limitations and challenges of using prompt engineering to mitigate representation bias in language models?
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