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Related Questions
- What are the key differences between active learning and traditional machine learning in the context of large language models?
- How does active learning improve the efficiency of large language model training by reducing the need for labeled data?
- Can you provide examples of applications where active learning is particularly beneficial for large language models?
- What are the challenges of implementing active learning in large language models, and how can they be overcome?
- How does active learning impact the interpretability of large language model predictions and decisions?
- Are there any specific techniques or methods that can be used to select the most informative samples for active learning in large language models?
- Can you explain the relationship between active learning and transfer learning in the context of large language models?
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