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Related Questions
- What are the common sources of bias in NLP models and how can prompt engineering address them?
- Can you provide examples of biased language patterns that prompt engineering can help detect?
- How does prompt engineering involve designing and testing specific prompts to evaluate and mitigate bias in NLP models?
- What are some strategies for creating inclusive and diverse training data that can be used in prompt engineering to reduce bias?
- How can prompt engineering be used to identify and address cultural and linguistic biases in NLP models?
- What is the role of human evaluation in prompt engineering for identifying and mitigating bias in NLP models?
- Can you explain how prompt engineering can help NLP models generalize better and reduce bias by using more diverse and representative data?
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