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 28 terms

What is Fine-tuning?

In fine-tuning an existing model is trained further on your own examples to adapt style, domain language or task behaviour. The knowledge then sits in the weights, unlike RAG where it is supplied at runtime.

From a data protection view this is the trickier path. Personal data in the training examples cannot simply be deleted from a model again, and access and erasure requests become hard to satisfy. Clarify the legal basis, purpose limitation, and whether RAG achieves the same benefit without this risk.

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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