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Related Questions
- How do large language models handle out-of-vocabulary words in natural language processing?
- What are some common techniques used to handle ambiguity in language, such as word sense disambiguation?
- Can you explain the concept of contextualized embeddings and how they improve language understanding?
- What role does part-of-speech tagging play in identifying the context of a sentence?
- How do machine learning models account for idiomatic expressions and figurative language in language understanding?
- Can you discuss the difference between word embeddings and contextualized embeddings in language models?
- What are some strategies for improving the robustness of language models to out-of-domain or out-of-context language?
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