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Related Questions
- How does active learning address the challenges of labeling large datasets in prompt engineering?
- What are the key advantages of using active learning in prompt engineering compared to traditional supervised learning?
- Can you provide examples of how active learning is used in prompt engineering to improve model performance?
- How does active learning handle uncertainty in prompt engineering, and what are its implications for model accuracy?
- What are the trade-offs between active learning and traditional supervised learning in terms of computational resources and model complexity?
- How does active learning affect the quality of the prompts used in prompt engineering, and what are the implications for model performance?
- Can you provide a comparison of the effectiveness of active learning and traditional supervised learning in prompt engineering for different types of models and datasets?
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