Fine-Tuning

Fine-Tuning adjusts a pretrained model's weights using a curated dataset so it follows a specific style, format, or task more reliably than prompting alone. It is most valuable when you need consistent tone, strict output schemas, or to compress a long system prompt.

An e-commerce brand fine-tunes a small model on 5,000 of their best support replies, then runs it for first-line triage — keeping voice and policy consistent without a 3,000-token system prompt.