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Related Questions
- What is the impact of language drift on the performance of general-purpose NLP models?
- How do general-purpose NLP models adapt to changes in terminology and jargon over time?
- What are the key differences in handling evolving language between general-purpose and domain-specific NLP models?
- Can general-purpose NLP models learn to recognize and update their knowledge on new terminology and concepts?
- How do general-purpose NLP models handle out-of-vocabulary words and phrases compared to domain-specific models?
- What are the challenges and limitations of training general-purpose NLP models to handle evolving language?
- Can domain-specific NLP models be fine-tuned to handle new domains or topics, and if so, how?
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