Glossary · Math & training
Fine-tuning
Continuing training from pretrained parameters on a narrower dataset or objective. Depending on the method, you may update all parameters, selected parameters, or added adapter parameters.
Why it matters
Fine-tuning can adapt behavior, style, format, or task performance, but it is not a dependable replacement for retrieval when facts must stay current or traceable.
Common confusion
Fine-tuning can influence encoded knowledge, but it does not simply append records to a searchable database inside the model.
Related terms
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