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Related Questions
- How does the representation of diverse languages and dialects in training data impact the accuracy of intent detection in multilingual scenarios?
- Can you explain how the inclusion of underrepresented groups in training data affects the fairness and bias of intent-based models?
- What are the potential consequences of a lack of diversity in training data on the performance of intent-based models in real-world applications?
- How does the balance between majority and minority groups in training data influence the generalizability of intent-based models?
- Can you discuss the impact of cultural and social nuances in training data on the effectiveness of intent-based models in diverse cultural contexts?
- What role does the quality and representativeness of training data play in mitigating the risk of bias in intent-based models?
- How can the incorporation of diverse perspectives and experiences in training data enhance the robustness and adaptability of intent-based models?
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