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Related Questions
- What role does human evaluation play in identifying and mitigating bias in AI models through iterative refinement in prompt engineering?
- Can you explain the concept of 'prompt drift' and how iterative refinement helps to address it in AI development?
- How does iterative refinement in prompt engineering impact the generalizability of AI models across different domains and tasks?
- What are some common pitfalls to avoid when using iterative refinement in prompt engineering to reduce bias in AI models?
- Can you describe the relationship between iterative refinement in prompt engineering and the concept of 'adversarial testing' in AI development?
- How does iterative refinement in prompt engineering enable the creation of more nuanced and context-dependent AI models?
- What are some key metrics or evaluation criteria to measure the effectiveness of iterative refinement in prompt engineering in reducing bias in AI models?
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