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Related Questions
- How do pre-trained models handle out-of-domain data compared to custom-trained models?
- What are the implications of overfitting on the accuracy of custom-trained models?
- Can you explain the concept of 'domain adaptation' in the context of pre-trained models?
- How does the size of the training dataset impact the accuracy of custom-trained models?
- What are some common techniques used to fine-tune pre-trained models for specific tasks?
- How do custom-trained models handle concept drift compared to pre-trained models?
- What are the advantages and disadvantages of using transfer learning with pre-trained models?
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