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Related Questions
- What are some potential sources of noise in evaluation metrics that may affect active learning's impact on prompt quality?
- Can the choice of metrics prioritize the wrong objectives in the context of improving prompt quality through active learning?
- How do data preprocessing steps and cleaning strategies affect the accuracy and relevance of evaluation metrics?
- Can the learning objectives set forth by evaluation metrics contradict with the broader goals of natural language generation or knowledge extraction?
- Do different evaluation metrics reveal competing benefits and trade-offs, leading to complex decisions around resource allocation for active learning?
- What about incorporating user feedback as another aspect of a metric - what are some pros and cons of considering subjective and self-reported performance for an AL system improving prompts
- To what degree are the conclusions reached on successful active learning scenarios depend on the way metric definition & thresholds applied &/or changed & monitored (thus affecting their success
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