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Related Questions
- What are the key differences between task-specific fine-tuning and general fine-tuning in text generation models?
- How does task-specific fine-tuning affect the explainability of model predictions in text generation?
- Can you provide examples of tasks that benefit from task-specific fine-tuning and those that do not?
- How does task-specific fine-tuning impact the model's ability to generalize to new, unseen tasks?
- What techniques can be used to improve the interpretability of task-specific fine-tuned models?
- How does the level of task-specific fine-tuning affect the model's ability to capture domain-specific knowledge?
- Can task-specific fine-tuning lead to overfitting, and if so, how can this be mitigated?
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