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Related Questions
- What is active learning and how does it differ from traditional supervised learning in data annotation?
- Can you explain the key principles of active learning and its application in data annotation?
- How does active learning help to reduce the cost and time associated with data annotation?
- What are some common strategies used in active learning for data annotation, and how do they impact model performance?
- In what ways can active learning be used to improve model performance on nuanced language tasks, such as sentiment analysis and text classification?
- How does active learning account for uncertainty and noise in the data, and what are the implications for model performance?
- What are some challenges associated with implementing active learning in real-world data annotation pipelines, and how can they be addressed?
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