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Related Questions
- What are the key differences between domain-agnostic and domain-specific models, and how do they impact performance?
- Can you explain the concept of transfer learning and its role in adapting models to specific domains?
- How do domain-specific models handle out-of-vocabulary words and domain-specific terminology?
- What are some common techniques used to fine-tune domain-specific models for specific tasks, such as text classification or question answering?
- What are the benefits of using domain-specific models in real-world applications, such as improved accuracy and efficiency?
- How do domain-specific models adapt to changes in the domain or task over time, and what are the implications for maintenance and updates?
- Can you discuss the trade-offs between domain-specific models and domain-agnostic models in terms of flexibility and generalizability?
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