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Related Questions
- What are some potential biases present in pre-trained language models that could affect the accuracy of contextual information?
- How do pre-trained language models handle out-of-vocabulary words or domain-specific terminology?
- What are some potential challenges in fine-tuning pre-trained language models for specific tasks or domains?
- Can pre-trained language models capture nuances of language, such as sarcasm, idioms, or figurative language?
- How do pre-trained language models handle context switching, such as understanding the context of a conversation?
- What are some potential limitations of using pre-trained language models in low-resource languages or domains?
- How do pre-trained language models handle uncertainty or ambiguity in language, such as in cases of polysemy or homographs?
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