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Related Questions
- How do word embeddings capture the nuances of word meanings in LLMs?
- Can you explain the impact of word embeddings on LLMs' ability to disambiguate polysemous words?
- What techniques are used to train word embeddings for LLMs to handle polysemous words?
- How do word embeddings contribute to LLMs' contextual understanding of word meanings?
- Can you discuss the challenges of representing polysemous words in word embeddings?
- How do different word embedding techniques, such as Word2Vec and GloVe, handle polysemous words in LLMs?
- What role do word embeddings play in LLMs' ability to capture subtle differences in word meanings?
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