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Related Questions
- How do large language models handle out-of-vocabulary words when encountering ambiguous input?
- What techniques do developers use to mitigate the impact of ambiguity on model performance?
- Can you explain the concept of contextualized embeddings and their role in resolving ambiguity in language understanding?
- How do large language models distinguish between homographs and homophones to resolve ambiguity?
- What is the relationship between ambiguity and the quality of pre-training data for large language models?
- How do large language models handle ambiguity in domain-specific terminology and jargon?
- Can large language models be fine-tuned to adapt to specific domains and resolve domain-specific ambiguity?
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