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Related Questions
- How do large language models adapt to industry-specific vocabulary and technical jargon?
- Can large language models learn to understand and use domain-specific terminology in their responses?
- What techniques do large language models use to handle out-of-vocabulary words and phrases in specific domains?
- How do large language models' performance vary when dealing with specialized terminology in fields like medicine, law, or finance?
- Can large language models be fine-tuned to understand and generate domain-specific language without sacrificing their general knowledge?
- What role do pre-training corpora play in enabling large language models to handle domain-specific terminology?
- Are there any notable challenges or limitations associated with large language models' ability to grasp domain-specific jargon and terminology?
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