Continued pretraining vs fine-tuning: which do you need?

Use continued pretraining when the model lacks knowledge or vocabulary from your domain, and use fine-tuning when it knows enough but behaves wrong for your task. Nodus runs both from one managed runtime, nodus/sft, and in our October 2026 pilots it produced byte-identical weights to Modal at 42.5% lower charges for continued pretraining and 67%... Weiterlesen: Continued pretraining vs fine-tuning: which do you need?