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Related Questions
- How do cognitive biases of human designers influence the creation of ambiguous or misleading prompts for NLP models?
- What are the potential consequences of human designers' biases on the interpretability of NLP models?
- Can you explain how the lack of transparency in prompt design can lead to interpretability issues in NLP models?
- How do cognitive biases impact the evaluation of NLP model performance, and what are the implications for interpretability?
- What role do cognitive biases play in shaping the assumptions and expectations of human designers when creating prompts for NLP models?
- Can you discuss the relationship between cognitive biases and the concept of 'prompt drift' in NLP model interpretability?
- How can designers mitigate the effects of cognitive biases on NLP model interpretability, and what strategies can be employed to improve prompt design?
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