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Related Questions
- Can large language models learn to generalize and make inferences about new, unseen concepts?
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- Can large language models adapt to new domains or topics that are not present in their training data?
- What techniques do large language models use to handle unknown or unseen entities, such as proper nouns or technical terms?
- How do large language models deal with ambiguity or uncertainty when encountering unknown or unfamiliar concepts?
- Can large language models learn to recognize and handle homophones or words with multiple meanings?
- What is the impact of the lack of representation of certain concepts in a large language model's training data on its performance?
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