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Related Questions
- What is task-specific fine-tuning and how does it differ from general fine-tuning?
- How does task-specific fine-tuning adjust the pre-trained model's weights to improve performance on a specific task?
- Can you provide an example of task-specific fine-tuning in action, such as adjusting weights for a specific language model?
- What are the benefits of task-specific fine-tuning compared to general fine-tuning?
- How does task-specific fine-tuning handle the trade-off between adapting to the new task and preserving the knowledge learned from the pre-training data?
- What are some common techniques used in task-specific fine-tuning, such as weight initialization or learning rate scheduling?
- Can you explain the role of task-specific fine-tuning in adjusting the pre-trained model's weights for a specific domain or task, such as sentiment analysis or question answering?
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