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Related Questions
- What is task-specific fine-tuning and how does it relate to transfer learning in text generation models?
- How does task-specific fine-tuning allow text generation models to adapt to new tasks and domains?
- What are the benefits of using task-specific fine-tuning for text generation models in transfer learning?
- Can you provide an example of task-specific fine-tuning in a text generation model and how it improves performance?
- How does task-specific fine-tuning compare to other fine-tuning techniques, such as domain adaptation and multi-task learning?
- What are some common challenges associated with task-specific fine-tuning in text generation models and how can they be addressed?
- How does task-specific fine-tuning impact the interpretability and transparency of text generation models?
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