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Related Questions
- What are the primary objectives of active learning in the context of prompt engineering?
- How does active learning differ from traditional machine learning approaches in terms of data collection and labeling?
- Can you explain the concept of uncertainty sampling in active learning and its application in prompt engineering?
- What are the benefits of using active learning in prompt engineering, and how can it improve model performance?
- How does active learning address the problem of labeling noise and variability in prompt engineering?
- What are some common techniques used in active learning for prompt engineering, and how do they compare to traditional approaches?
- Can you provide an example of how active learning can be used to optimize the performance of a prompt engineering model on a specific task or dataset?
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