Glossary Systems and architecture
Fine-tuning
An existing model is trained further on your own data.
What is Fine-tuning?
Fine-tuning trains an existing model further on additional examples to adapt style, terminology or task behaviour. This changes model parameters. RAG instead retrieves relevant content at runtime and supplies it as context.
A model can memorise parts of training data and later disclose them. Removing an example from a dataset does not demonstrate that its influence has been removed from the model. Assess legal basis, purpose limitation and individual rights. RAG also requires appropriate privacy and access controls.
Sources for context: NIST AI 600-1
Threats using this term (5)
Entries in the threat catalogue whose text uses the term. Every link leads to the full threat page.
Related terms
More terms from the subject area Systems and architecture.
From the term into the substance
The link leads to the place on the website where the term becomes practical; the overview shows every term in the glossary by subject area.
Cite this term
For reports, policies or internal documents; the link leads directly to this term page.
“Fine-tuning”. Versatile AI Risk Assessment, glossary of AI risk analysis, as of September 2026. https://www.versatile-ai-risk-assessment.com/en/wissensbasis/glossary/feinabstimmung/