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Related Questions
- What are the key differences between active learning and traditional machine learning approaches in evaluating model performance?
- How can developers design a human evaluation framework to assess the semantic understanding of their language models?
- What are some common metrics used to measure the effectiveness of human evaluation in validating model performance?
- Can you explain the concept of 'human-in-the-loop' training and its role in active learning?
- How do developers select and annotate a representative dataset for human evaluation of their models?
- What are some potential pitfalls to avoid when designing a human evaluation study for model validation?
- How can developers use active learning to reduce the need for large-scale human annotation in model training?
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