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Related Questions
- How does prompt engineering affect a model's ability to generalize to new tasks?
- What are some common pitfalls in prompt engineering that can lead to poor out-of-distribution performance?
- Can you provide examples of effective prompt engineering strategies for improving a model's robustness to out-of-distribution tasks?
- How does the quality of the training data impact the model's ability to handle out-of-distribution tasks?
- What role does transfer learning play in mitigating the impact of out-of-distribution tasks on a model's performance?
- Can you discuss the trade-offs between model complexity and robustness to out-of-distribution tasks?
- How can we evaluate the effectiveness of prompt engineering strategies for improving a model's out-of-distribution performance?
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