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Related Questions
- What are the key factors that influence the adaptability of domain-specific models in response to changes in the domain or task?
- How do domain-specific models handle concept drift, and what strategies can be employed to mitigate its impact?
- What are the trade-offs between fine-tuning and retraining domain-specific models when adapting to changes in the domain or task?
- What role does data quality play in the adaptability of domain-specific models, and how can it be ensured?
- What are the implications of adapting domain-specific models for task-oriented applications, such as chatbots or virtual assistants?
- How do domain-specific models handle changes in the task requirements, such as new tasks or updates to existing ones?
- What are the challenges and limitations of maintaining and updating domain-specific models over time, and how can they be addressed?
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