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Related Questions
- How do contextualized embeddings address the issue of homophone ambiguity in large language models (LLMs)?
- Can you explain the concept of homophone ambiguity and how it affects LLMs?
- What is the impact of contextualized embeddings on improving the accuracy of LLMs in understanding words with multiple meanings?
- How do contextualized embeddings help LLMs to disambiguate homophones in different contexts?
- What are some examples of homophones that contextualized embeddings can help LLMs to resolve?
- Can you discuss the role of contextualized embeddings in reducing the reliance on heuristics in LLMs?
- How do contextualized embeddings contribute to the overall performance of LLMs in natural language processing tasks?
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