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Related Questions
- What are some common techniques used by large language models to resolve lexical ambiguity?
- How do large language models handle out-of-vocabulary words and their meanings?
- Can you explain the role of context in disambiguating words with multiple meanings in large language models?
- What is the impact of pre-training on the ability of large language models to disambiguate words with multiple meanings?
- How do large language models use word embeddings to represent words with multiple meanings?
- What are some challenges in disambiguating words with multiple meanings in large language models, and how are they addressed?
- Can large language models be fine-tuned to improve their disambiguation abilities for specific domains or languages?
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