I’m updating a fine-tuned model as our examples change and am unsure whether each new training run can build on the previous fine-tuned version, or whether it has to start from the original base model.
For anyone who has maintained a fine-tuned model over time: how do you handle new training data, and what should I check about supported base models before choosing an approach?
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