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Related Questions
- How do entity embeddings help LLMs handle domain-specific terminology?
- Can you provide examples of how entity embeddings are used in natural language processing?
- What is the relationship between entity embeddings and the notion of 'contextual' understanding in LLMs?
- In what ways do entity embeddings facilitate the representation of nuances in domain-specific language?
- How are entity embeddings trained, and what role do they play in fine-tuning LLMs for specific tasks?
- What are some common applications of entity embeddings in NLP, and how do they contribute to improved performance in these areas?
- Can you explain how entity embeddings can help reduce the 'semantic gap' between LLMs and human understanding of language?
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