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Related Questions
- What are some common linguistic devices used in prompt engineering to elicit specific responses from language models?
- How do cognitive biases, such as anchoring and confirmation bias, influence the way users interact with language models?
- Can you explain the concept of 'prompt priming' and its effects on language model responses?
- How do you account for the limitations of working memory in designing effective prompts for language models?
- What role does contextual understanding play in mitigating the limitations of language models in terms of common sense and world knowledge?
- How do you balance the need for specificity in prompts with the need for flexibility and open-endedness in language model responses?
- What are some best practices for using linguistic and cognitive knowledge to craft prompts that minimize the risk of perpetuating bias and promoting fairness in language model responses?
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