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Related Questions
- What are the advantages of a small, task-specific model over a fine-tuned pre-trained model?
- Can a small model with a simple architecture outperform a complex fine-tuned model on a specific task?
- Under what conditions can a small model be more effective than a fine-tuned pre-trained model?
- How does the size of the training dataset affect the performance of a small model compared to a fine-tuned model?
- Can a small model with a specialized architecture outperform a general-purpose fine-tuned model on a specific task?
- What role does task complexity play in determining whether a small model or a fine-tuned model performs better?
- Can a small model with a strong inductive bias outperform a fine-tuned model on a task with a small number of training examples?
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