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Related Questions
- What are the key benefits of pre-training large language models on a general domain before fine-tuning them on a specific task?
- How does transfer learning enable large language models to generalize better to new tasks and domains?
- What are the primary advantages of using pre-trained language models as a starting point for new tasks, rather than training from scratch?
- Can you explain how transfer learning helps to reduce the need for large amounts of labeled data for new tasks?
- How does transfer learning affect the performance of large language models on tasks that require specialized knowledge or expertise?
- What are the potential drawbacks of relying on transfer learning for adapting large language models to new tasks?
- Can you discuss the role of fine-tuning in transfer learning and its impact on the performance of large language models on new tasks?
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