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Related Questions
- What are the limitations of relying solely on contextual understanding for negative example collection?
- How do alternative methods for negative example collection, such as active learning or human evaluation, compare to contextual understanding in terms of efficiency and accuracy?
- What are the potential trade-offs between using contextual understanding and alternative methods for negative example collection in terms of data quality and model performance?
- Can you explain the concept of 'hallucination' in the context of language models and how it relates to contextual understanding and negative example collection?
- How do you balance the need for diverse and representative negative examples with the potential for contextual understanding to introduce bias or inaccuracies?
- What are some strategies for augmenting contextual understanding with alternative methods for negative example collection, such as using human evaluation or active learning?
- How do you evaluate the effectiveness of alternative methods for negative example collection compared to contextual understanding in terms of model performance and data quality?
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