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Related Questions
- How do domain-specific knowledge graphs impact the performance of contextualized embeddings in large language models?
- What are the key challenges in adapting contextualized embeddings to domain-specific tasks, and how can they be addressed?
- Can you explain the concept of 'domain knowledge' in the context of LLMs, and how it relates to contextualized embeddings?
- What role does inductive bias play in the relationship between domain knowledge and contextualized embeddings in LLMs?
- How do contextualized embeddings handle out-of-domain data, and what are the implications for domain knowledge?
- What are some techniques for fine-tuning LLMs for specific domains, and how do they relate to contextualized embeddings?
- Can you discuss the trade-offs between domain knowledge, contextualized embeddings, and the performance of LLMs on specific tasks?
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