How does fine-tuning affect model performance?
Fine-tuning can significantly enhance model performance by adapting it to specific tasks or datasets.
Can you explain the process of fine-tuning?
Sure! Fine-tuning involves taking a pre-trained model and training it further on a smaller, task-specific dataset.
What are the benefits of fine-tuning over training from scratch?
Fine-tuning usually requires less data and computational resources, and it often leads to better performance.
Are there any downsides to fine-tuning?
Yes, fine-tuning can lead to overfitting if the new dataset is too small or not representative.
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