Unverified50% confidenceOpinionExact time
PEFT saves training cost, not experiment design cost; hyperparameters such as the adapter's rank, injection positions, and learning rate still require systematic tuning.
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50%
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Long-term
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10/31/2026
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UnverifiedThe cost of a supervised small model is that it requires a certain amount of high-quality annotation, and its generalization ability is limited by the training distribution.79% similarUnverifiedFor small corpora and knowledge-intensive domains (such as healthcare and finance), continued pretraining is still effective and cost-controllable, rather than necessarily requiring direct full-parameter large-scale retraining.78% similar
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