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Related Questions
- Can contextual models better capture nuances in human language, such as idioms and figurative language?
- How do contextual models handle multi-turn conversations, where the context of previous turns is crucial for understanding the current turn?
- Can contextual models outperform non-contextual models in tasks that require common sense and real-world knowledge, such as story comprehension?
- How do contextual models handle out-of-vocabulary words and domain-specific terminology, which are common in real-world language understanding tasks?
- Can contextual models be fine-tuned for specific domains, such as medicine or law, where specialized knowledge is essential for accurate understanding?
- How do contextual models compare to non-contextual models in tasks that require empathy and emotional understanding, such as sentiment analysis?
- Can contextual models be used to improve language understanding in applications such as chatbots, virtual assistants, and language translation systems?
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