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Related Questions
- What are the key performance indicators (KPIs) to measure the success of a prompt engineering project?
- Can you explain the difference between primary and secondary metrics for evaluating prompt engineering effectiveness?
- How do you determine the relevance and accuracy of a prompt's output in a machine learning model?
- What are some common pitfalls to avoid when designing and implementing prompt engineering strategies?
- Can you provide examples of how prompt engineering can improve the performance of NLP models in specific tasks?
- How do you balance the trade-off between prompt complexity and model performance in prompt engineering?
- What are some best practices for testing and validating prompt engineering strategies to ensure their effectiveness?
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