How do you decide whether to fine-tune or train a model from scratch?
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Answer / Nitin Kumar Sharma
To decide between fine-tuning or training a model from scratch, consider these factors: 1. Availability of pre-trained models for the task at hand; 2. Quality and quantity of available labeled data; 3. Computational resources required for training from scratch versus fine-tuning; 4. Desired level of personalization for the specific application.
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