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Related Questions
- How do large language models learn to recognize and understand domain-specific terminology and jargon?
- Can large language models be fine-tuned for specific domains to improve their understanding of terminology and jargon?
- What are some common challenges that large language models face when encountering domain-specific terminology and jargon?
- How can large language models be evaluated for their ability to handle domain-specific terminology and jargon?
- What role does data quality play in a large language model's ability to understand domain-specific terminology and jargon?
- Can large language models be used to assist with terminology management and standardization in a particular domain?
- How do large language models handle out-of-vocabulary words, especially in domain-specific contexts?
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