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Related Questions
- How can I design prompts that capture the subtleties of human language in text classification?
- What techniques can I use to create nuanced prompts that avoid oversimplification of complex text data?
- How can I leverage contextual information to improve the model's understanding of subtle language cues?
- What role does semantic priming play in improving model performance on nuanced text classification tasks?
- Can you provide examples of effective prompts that have been used in text classification tasks, and what made them effective?
- How can I use prompt engineering to mitigate the impact of linguistic ambiguities on model performance?
- What strategies can I use to detect and address potential biases in the prompts and training data that may affect nuanced language understanding?
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