---
title: "Fine-tuning"
description: "Further training of an existing model on new data to adapt it to a task or domain."
canonical: https://aigovernanceengineer.com/glossary/fine-tuning
author: "Jorge García Aibar"
license: "CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/)"
doi: https://doi.org/10.5281/zenodo.22956197
version: "0.5.0"
updated: 2026-09-24
---

# Fine-tuning

Further training of an existing model on new data to adapt it to a task or domain. It changes the model, so it is a change event with its own evals; for general-purpose AI models, the Commission treats a modifier as a provider only above one third of the original training compute [1].

- Developed in: [ch. 15, How it is adapted](https://aigovernanceengineer.com/bok/governing-deployment#how-it-is-adapted); [ch. 18, When a fine-tuner becomes a GPAI provider](https://aigovernanceengineer.com/bok/eu-ai-act#when-a-fine-tuner-becomes-a-gpai-provider)
- Chapters: [ch. 15, Deployment](https://aigovernanceengineer.com/bok/governing-deployment) · [ch. 18, EU AI Act](https://aigovernanceengineer.com/bok/eu-ai-act)
- In the glossary chapter: https://aigovernanceengineer.com/bok/glossary#t-fine-tuning

## Sources

[1] Guidelines on obligations for general-purpose AI providers, FAQ (a modifier becomes a provider only when the modification uses more than one third of the original model's training compute; obligations limited to the modification). European Commission. 2025. https://digital-strategy.ec.europa.eu/en/faqs/guidelines-obligations-general-purpose-ai-providers (verified: primary)