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AI & Machine Learning · Intermediate

Fine-Tuning

Further training a pretrained model on a smaller task- or domain-specific dataset to adapt its behavior.

Definition

Fine-tuning updates model weights using labeled examples, typically prompt-response pairs, to teach style, format, domain terminology or specialized tasks. It needs quality data, compute and evaluation, and the result must be hosted and maintained. It does not keep facts current the way RAG does.

Exam tip

Fine-tune for consistent behavior or style; use RAG for changing facts.

Don't confuse it with

Related terms