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Related Questions
- What are the key differences between active learning and passive learning in the context of prompt engineering?
- How can active learning help reduce the need for large datasets in prompt engineering?
- What are some common techniques used in active learning to select the most informative prompts for model improvement?
- Can you explain how active learning can help improve model performance in terms of accuracy, generalizability, and interpretability?
- What are some potential challenges and limitations of using active learning in prompt engineering, and how can they be addressed?
- How can active learning be used to optimize the design of prompts for specific tasks or domains, such as natural language generation or question answering?
- What are some best practices for implementing active learning in prompt engineering, including choosing the right sampling methods and evaluation metrics?
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