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Related Questions
- What are some common context-independent metrics used in prompt engineering and how do they impact model decision-making?
- How do context-independent metrics, such as accuracy and F1-score, limit the understanding of model decisions in complex scenarios?
- Can you explain the trade-off between using context-independent metrics and gaining a deeper understanding of model decisions in prompt engineering?
- In what ways do context-independent metrics fail to capture the nuances of model decision-making in complex scenarios?
- How can prompt engineers design experiments to evaluate the impact of context-independent metrics on model decision-making in complex scenarios?
- What are some alternative approaches to context-independent metrics that can provide a more comprehensive understanding of model decisions in prompt engineering?
- Can you provide examples of complex scenarios where context-independent metrics are insufficient for understanding model decisions and how to address these limitations?
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