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Related Questions
- What are the key differences between task-specific fine-tuning and general fine-tuning in large language models?
- How does task-specific fine-tuning improve the performance of a language model on a specific task?
- Can you provide examples of tasks where task-specific fine-tuning is more effective than general fine-tuning?
- What are the potential drawbacks of using general fine-tuning over task-specific fine-tuning?
- How does task-specific fine-tuning affect the model's ability to generalize to new, unseen tasks?
- What is the impact of task-specific fine-tuning on the model's computational requirements and training time?
- Can task-specific fine-tuning be used in conjunction with other techniques, such as transfer learning, to improve model performance?
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