Versatile AI Risk Assessment

Glossary Systems and architecture

Fine-tuning

An existing model is trained further on your own data.

As of: September 2026 · Glossary with 46 terms

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

Training dataGDPRRAG

Threats using this term (5)

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“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/

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