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Related Questions
- What are some common examples of prompt leakage in language models?
- Can you describe a scenario where a language model is exposed to biased or incomplete training data, leading to inaccurate or unfair responses?
- How does the use of similar or identical prompts in different training datasets contribute to prompt leakage?
- What are some potential consequences of prompt leakage in language models, such as perpetuating stereotypes or reinforcing existing biases?
- Can you provide examples of how prompt leakage can occur through the use of templates or pre-defined response structures in language models?
- How does the lack of diversity in training data contribute to prompt leakage in language models?
- What are some strategies for mitigating prompt leakage in language models, such as using more diverse and representative training data?
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