Additional training that adapts a base model to a narrower domain or style.
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AI Glossary
Fine-Tuning
Additional training that adapts a base model to a narrower domain or style.
Simple explanation
Fine-tuning further trains a model on your examples so it behaves more like your domain or style.
Technical explanation
Supervised fine-tuning or parameter-efficient methods adapt base weights using labeled pairs; requires data quality and eval harnesses.
Examples
- Tone-matched customer replies
- Domain classification heads
FAQs
When should I fine-tune?
After prompts and retrieval plateau—and you have clean labeled examples.
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