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Related Questions
- What are the key differences between task-specific fine-tuning and general fine-tuning in the context of contextual models?
- How can task-specific fine-tuning be used to adapt a pre-trained language model to a specific domain or task?
- What are some common techniques used for task-specific fine-tuning, and how do they impact the performance of contextual models?
- Can you provide examples of how task-specific fine-tuning has been used to improve the performance of contextual models in various NLP tasks?
- What are the challenges and limitations of task-specific fine-tuning, and how can they be addressed?
- How does task-specific fine-tuning relate to other techniques, such as transfer learning and domain adaptation?
- What are some best practices for implementing task-specific fine-tuning in a contextual model, and how can they be evaluated for effectiveness?
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