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Related Questions
- What are the key differences between context-independent and context-dependent metrics in prompt engineering?
- How do context-independent metrics, such as accuracy and F1 score, compare to context-dependent metrics, like BLEU and ROUGE, in evaluating model performance?
- What are the advantages and disadvantages of using context-independent metrics versus context-dependent metrics in prompt engineering?
- Can you provide examples of scenarios where context-independent metrics are more suitable, and where context-dependent metrics are more appropriate?
- How do context-dependent metrics, such as METEOR and CIDEr, take into account the nuances of language and context in evaluating model performance?
- What are the limitations of using context-independent metrics in evaluating model performance, especially in tasks that require understanding and generation of context-dependent information?
- How can prompt engineers balance the trade-offs between using context-independent and context-dependent metrics in evaluating model performance, and what are the implications for model development and deployment?
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