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Related Questions
- Can you explain how contextual information affects the performance of a language model?
- How does auxiliary information impact the accuracy of a machine learning model in NLP tasks?
- What are some common use cases for contextual information in prompt engineering?
- How can auxiliary information be used to improve the interpretability of a language model's output?
- What are the key differences between contextual and auxiliary information in terms of their impact on model performance?
- Can you provide examples of scenarios where contextual information is more important than auxiliary information?
- How do different NLP tasks, such as question answering and text classification, utilize contextual and auxiliary information differently?
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