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Related Questions
- What are the primary goals of pre-training and fine-tuning in transfer learning?
- How do pre-training and fine-tuning differ in terms of model architecture and task objectives?
- Can you provide examples of when pre-training is typically used in transfer learning?
- What are the benefits and limitations of fine-tuning in transfer learning?
- How do the pre-training and fine-tuning methods impact the performance of the model on downstream tasks?
- Can you explain the concept of 'transfer learning' and how pre-training and fine-tuning fit into this framework?
- What are some common applications of pre-training and fine-tuning in natural language processing and computer vision tasks?
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