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Related Questions
- What is the role of word embeddings in capturing nuances of word meanings in LLMs?
- How do word embeddings enable LLMs to understand context-dependent word meanings?
- Can you explain the difference between static and dynamic word embeddings in LLMs?
- In what ways do word embeddings contribute to LLMs' ability to handle polysemy and homophony?
- How do word embeddings influence the performance of LLMs in tasks such as question answering and text classification?
- What are the implications of using pre-trained word embeddings in LLMs for improved contextual understanding?
- Can you provide examples of word embeddings that are commonly used in LLMs and their characteristics?
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