Category Research project
  • Expositionsschätzung

Large Language Models analysis for automatic FoodEx2 codification

Project status
In Progress
Project start
Dec 2024
Project end
Sep 2027
Acronym
LLM-FoodEx2 / ALLMA-FX2
Department
Exposition

Description and Objective

The aim of the project is to explore Large Language Models (LLMs) for the codification of foods in the FoodEx2 system using textual descriptions. This will be based on experience feedback from existing ML tools - in particular SCA - used by EFSAshort forEuropean Food Safety Authority and Member States for FoodEx2 codification (or classification of foods in other relevant nomenclatures) and improved for model training and testing purposes by integrating external food databases containing FoodEx2 or other relevant codification nomenclatures.
Type of project

Third-party funded project

BFR research focus

Harmonisierung und Standardisierung von Expositionsschätzungen

Organisational units and partners

Lead specialist group: Lebensmittelexposition und Gesamtbewertung (34)
Contact persons: Dr. Christian Jung
External partner: French Agency for Food, Environmental and Occupational Health & Safety , Bundesamt für Verbraucherschutz und Lebensmittelsicherheit, National Institute For Public Health and The Environment, Technische Universität Dänemark, Schwedische Behörde für Lebensmittel

Funding body and grant number

Europäische Behörde für Lebensmittelsicherheit
GP/EFSAshort forEuropean Food Safety Authority/ENREL/2022/03-SA6