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Related Questions
- How do domain-specific language models adapt to emerging trends and new terms in their respective domains?
- What techniques do domain-specific language models use to handle out-of-vocabulary words and rare terminology?
- Can you explain the role of pre-training and fine-tuning in enabling domain-specific language models to handle domain-specific terminology?
- How do domain-specific language models handle polysemous words with multiple meanings in a specific domain?
- What is the impact of domain-specific language models on the ability to understand nuanced and context-dependent terminology?
- How do domain-specific language models handle jargon and specialized vocabulary in a particular domain?
- Can you discuss the challenges and limitations of training domain-specific language models on limited datasets and how to address them?
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