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Related Questions
- What are some potential biases that can be inherited from pre-trained models through transfer learning?
- How can overfitting occur when fine-tuning a large language model on a new task?
- What are the potential risks of relying on pre-trained models without proper adaptation to the new task?
- Can transfer learning lead to decreased performance on tasks that require unique features or domain-specific knowledge?
- How can the quality of the pre-trained model impact the effectiveness of transfer learning?
- What are the potential consequences of using a pre-trained model that is not well-suited for the new task?
- Can transfer learning lead to a lack of explainability and transparency in the model's decision-making process?
- How can the amount of data available for fine-tuning affect the success of transfer learning?
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