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

This story is from 2026-10-27. It is preserved in the archive; the latest stories are on the live feed.

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…

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  1. 2026-10-27 20:45 · DEV Community — Machine Learning
    Continued pretraining vs fine-tuning: which do you need?

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