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Related Questions
- How does prompt engineering affect the ability of large language models to generalize to unseen or out-of-distribution intent?
- Can you explain the relationship between prompt engineering and the robustness of large language models to adversarial attacks?
- What are some common techniques used in prompt engineering to improve the robustness of large language models to out-of-distribution intent?
- How does the design of prompts impact the ability of large language models to handle ambiguity and uncertainty in language?
- Can you discuss the trade-offs between using more explicit and more implicit prompts in terms of robustness to out-of-distribution intent?
- What are some challenges in evaluating the robustness of large language models to out-of-distribution intent, and how can prompt engineering help address these challenges?
- Can you describe how prompt engineering can be used to detect and mitigate potential biases in large language models that may affect their robustness to out-of-distribution intent?
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