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Related Questions
- What are the key differences in computational resources required for fine-tuning pre-trained models versus training custom models from scratch?
- How does the size of the pre-trained model affect the computational resources required for fine-tuning?
- What are the advantages and disadvantages of fine-tuning pre-trained models in terms of computational resources?
- Can you provide a general estimate of the computational resources required for fine-tuning a pre-trained model versus training a custom model from scratch?
- How does the choice of optimizer and learning rate schedule impact the computational resources required for fine-tuning a pre-trained model?
- What are some strategies for reducing the computational resources required for fine-tuning pre-trained models?
- How does the use of transfer learning impact the computational resources required for training custom models from scratch?
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