The answer
Often a retrieval system or database is easier to update and verify. Fine-tuning is more naturally suited to recurring response patterns and task behavior.
What is supervised fine-tuning?
Should changing business facts be stored through fine-tuning?
More FAQs in What is supervised fine-tuning?
No. Pre-training commonly builds broad capabilities from a large data mixture. SFT usually adapts an existing model using examples that demonstrate particular outputs or behaviors.
Yes. Narrow or inconsistent training can reduce other capabilities or introduce unwanted patterns. Evaluation should check both the target task and important existing behaviors.
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