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Related Questions
- Can domain-specific models learn to recognize and understand new words or terms outside of their initial training data?
- How do domain-specific models handle ambiguity in terminology, where the same term has multiple meanings depending on the context?
- What techniques do domain-specific models use to learn the nuances of domain-specific language and terminology?
- Can domain-specific models adapt to new terminology or jargon introduced in a specific domain over time?
- How do domain-specific models handle out-of-vocabulary words that are not present in their initial training data?
- Can domain-specific models learn to recognize and understand regional or cultural variations in terminology?
- What is the impact of domain-specific terminology on the performance of domain-specific models, and how can it be mitigated?
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