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Related Questions
- What are some examples of active learning strategies that can be used to improve prompt quality in natural language processing?
- How can I implement uncertainty sampling to select the most informative prompts for my model to learn from?
- What is the difference between entropy-based and query-by-committee active learning strategies, and how can I choose the best approach for my use case?
- Can I use human-in-the-loop techniques to label and refine prompts, and how can I integrate this into my active learning workflow?
- How can I use batch active learning to efficiently select and update a subset of prompts in my dataset?
- What are some common pitfalls to avoid when implementing active learning strategies, and how can I monitor their effectiveness?
- Can I use transfer learning and domain adaptation techniques to leverage pre-trained models and improve prompt quality in a new domain?
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