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When does it make sense to train your own model vs just prompt engineering an existing one?

This story is from 2026-09-06. It is preserved in the archive; the latest stories are on the live feed.

Spent the last few weeks tinkering with a small tool that needed to classify some domainspecific text. First instinct was to finetune something. Grabbed a base model, started thinking about training data, labeling schema, compute cost. Then a friend pointed out I could probably just get there with…

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  1. 2026-09-06 05:41 · r/learnmachinelearning
    When does it make sense to train your own model vs just prompt engineering an existing one?

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