Definition: AI Model Fine-Tuning ABB is a technology service that adapts a pre-trained artificial intelligence model to a specific domain, dataset, or operational context by further training or adjusting its parameters without rebuilding the model. Last modification: 2026-01-26 Identifier: http://data.europa.eu/dr8/AIModelFineTuningTechnologyService LOST view: Technical view – infrastructure EIRA concept: eira:ArchitectureBuildingBlock ABB name: eira:AIModelFineTuningTechnologyService Additional identifier: http://data.europa.eu/dr8/AIModelFineTuningTechnologyService Synonym: Model Adaptation, Domain Adaptation , Incremental Learning , Model Specialisation Example: Azure Fine tuning from Microsoft Foundry , AWS Bedrock fine-tuning Interoperability Saliency: AI Model Fine-Tuning enables Member States to reuse common European AI models while adapting them to national legal, linguistic, and data-sovereignty requirements. Additional information: Fine-Tuning differs from full training in that it preserves a shared European baseline model while allowing controlled national specialization, ensuring consistency, explainability, and compliance across Member States. Interoperability Dimension: Structural IoP EIF Layer: TechnicalInfrastructure