Glossary Systems and architecture
Fine-tuning
An existing model is trained further on your own data.
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.
Threats using this term (5)
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Related terms
More terms from the subject area Systems and architecture.
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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/