When should I train a model from scratch?
An example of an AI chatbot conversation about when to train a model from scratch.
When should I consider training a model from scratch instead of using a pre-trained one?
You should consider training from scratch if you have a unique dataset that is significantly different from existing models.
What are the risks of training from scratch?
The risks include overfitting, requiring more data, and needing substantial computational resources.
How much data do I need to train a model from scratch?
It depends on the complexity of the model and the task, but generally, more data leads to better performance.
Can I fine-tune a model instead?
Yes, fine-tuning a pre-trained model is often more efficient and requires less data than training from scratch.
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