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Related Questions
- What are the benefits of using task-specific fine-tuning in machine learning?
- How does task-specific fine-tuning compare to domain adaptation in terms of preserving general knowledge?
- Can task-specific fine-tuning be used for transfer learning across different languages or domains?
- What are the common challenges faced during task-specific fine-tuning, and how can they be addressed?
- How does task-specific fine-tuning affect the model's ability to generalize to unseen tasks or data?
- What is the relationship between task-specific fine-tuning and model overfitting, and how can it be mitigated?
- Can task-specific fine-tuning be used to update a pre-trained model with new task-specific knowledge, while retaining its pre-existing knowledge
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