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Related Questions
- How can overly specific prompts limit a model's ability to generalize to new situations?
- Can overly specific prompts lead to overfitting, and if so, how does this impact generalizability?
- In what ways can the specificity of prompts affect a model's ability to adapt to different contexts?
- How might overly specific prompts impact a model's performance on out-of-distribution data?
- Can overly specific prompts cause a model to become stuck in a local optimum, and what are the implications for generalizability?
- How do overly specific prompts interact with the model's prior knowledge and assumptions, and what effect does this have on generalizability?
- Can overly specific prompts lead to a model's inability to learn from few-shot learning or meta-learning scenarios, and what are the implications for generalizability in these settings?
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