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Related Questions
- What are the implications of relying on heuristics for identifying negative examples in AI training data?
- How does the lack of contextual understanding affect the quality of negative examples in machine learning models?
- What are some common pitfalls in collecting negative examples without considering the nuances of human context?
- Can you explain the difference between explicit and implicit negative examples, and how contextual understanding impacts their collection?
- What are the potential consequences of using inaccurate or incomplete negative examples in AI model training?
- How can we develop more effective methods for collecting negative examples that account for contextual understanding?
- What role does domain knowledge play in ensuring the accuracy of negative examples, and how can it be incorporated into the collection process?
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