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Related Questions
- What are the key factors that influence the quality of initial training data in active learning?
- How does the diversity and representativeness of the initial training data affect the effectiveness of active learning?
- What are some common pitfalls in collecting high-quality initial training data for active learning?
- Can you explain the concept of 'data drift' and how it impacts the quality of initial training data?
- How does the size of the initial training data set influence the effectiveness of active learning in improving prompt quality?
- What role does labeling quality play in the effectiveness of active learning, and how can it be improved?
- Can you discuss the trade-offs between using high-quality initial training data versus using a larger, lower-quality data set in active learning?
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