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Related Questions
- What are the key differences between fine-tuning and training from scratch in the context of machine learning?
- How does the pre-training process for large language models like BERT or RoBERTa impact their performance on downstream tasks?
- What are some common applications of transfer learning in natural language processing and computer vision tasks?
- How does the choice of pre-trained model and task-specific fine-tuning affect the performance of a model on a specific task?
- What are some best practices for selecting the optimal hyperparameters for fine-tuning a pre-trained model?
- Can you explain the concept of domain adaptation and how it relates to transfer learning?
- How does the size and complexity of a pre-trained model impact its ability to generalize to new tasks and domains?
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