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Related Questions
- What are some techniques for selecting the most informative samples for annotation in active learning?
- How can data augmentation and data generation methods be used to increase the size of the annotated dataset without manually annotating more samples?
- Can you explain the concept of uncertainty sampling and its application in active learning for prompt engineering?
- What are some strategies for estimating the model's uncertainty and selecting the most uncertain samples for annotation?
- How does transfer learning and pre-training affect the annotation burden in active learning for prompt engineering?
- What are some methods for reducing the annotation burden by leveraging weak or noisy labels?
- Can you discuss the trade-off between annotation quality and quantity in active learning for prompt engineering?
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