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Related Questions
- How does active learning address the trade-off between technical accuracy and natural language understanding in scientific prompts?
- What are the key differences between human-in-the-loop and model-in-the-loop approaches in active learning for scientific prompts?
- Can you explain the concept of 'uncertainty sampling' in active learning and its application to scientific prompts?
- How does active learning impact the interpretability of machine learning models in scientific prompts?
- What are some common challenges in implementing active learning for scientific prompts, and how can they be addressed?
- Can you discuss the role of human annotators in active learning for scientific prompts, and how their input can be optimized?
- How does active learning enable the creation of more nuanced and context-dependent scientific prompts, and what are the implications for natural language understanding?
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