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Related Questions
- How can explicit prompts be crafted to mitigate the influence of implicit biases in language models?
- What design principles can be applied to explicit prompts to minimize the perpetuation of biases?
- Can you provide examples of explicit prompts that have been successfully designed to avoid perpetuating biases in implicit prompts?
- What role does prompt engineering play in addressing bias in language models, and how can it be used to create more inclusive prompts?
- How can the use of diverse and representative training data be incorporated into explicit prompt design to reduce bias?
- What are some common pitfalls to avoid when designing explicit prompts to address bias in implicit prompts?
- Can you discuss the importance of ongoing evaluation and testing of explicit prompts to ensure they are effective in reducing bias?
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