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Related Questions
- How does task similarity impact the ability of large language models to generalize and adapt to new prompts?
- Can you explain the concept of task similarity in the context of large language models and how it relates to prompt engineering?
- What are some strategies for designing prompts that minimize the impact of task similarity on large language model performance?
- How do large language models handle tasks that have similar underlying structures but different surface-level characteristics?
- Can you discuss the trade-offs between using similar tasks to improve model performance versus introducing new tasks to prevent overfitting?
- In what ways can task similarity affect the interpretability and explainability of large language model outputs?
- How can prompt engineers use task similarity to their advantage when fine-tuning large language models for specific applications?
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