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Related Questions
- What are some techniques used in prompt engineering to mitigate linguistic patterns and stereotypes in LLMs?
- How can diverse and representative training data be used to reduce reliance on stereotypes in LLMs?
- What role does active learning play in prompt engineering to improve the generalizability of LLMs?
- Can you explain the concept of 'prompt design' in the context of LLMs and its impact on reducing linguistic patterns?
- How can the use of explicit and implicit prompts influence the output of LLMs and reduce stereotypes?
- What are some best practices for creating inclusive and diverse prompts to improve the performance of LLMs?
- How can the evaluation of LLMs be designed to assess their ability to recognize and avoid stereotypes in their outputs?
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