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Related Questions
- How do large language models handle linguistic ambiguity in terms of word sense disambiguation?
- What are some common techniques used by large language models to address uncertainty in natural language processing?
- Can you explain how large language models incorporate ambiguity and uncertainty into their training data and algorithms?
- How do large language models handle context-dependent ambiguity, where the same word or phrase can have different meanings depending on the context?
- What is the relationship between ambiguity and uncertainty in language, and how do large language models attempt to mitigate this issue?
- Can you discuss the impact of ambiguity and uncertainty on the performance of large language models in tasks such as question answering and text classification?
- How do large language models use probabilistic methods to model uncertainty and ambiguity in language, and what are the benefits and limitations of these approaches?
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