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Improving personalized meal planning with large language models: identifying and decomposing compound ingredients
Leon Kopitar, Leon Bedrač, Larissa Jane Strath, Jiang Bian, Gregor Štiglic
Izvirni znanstveni članek
Oznake: artificial intelligence;food analysis;LLM;Ilama;GPT;mixtral;ingredient identification;ingredient decomposition;personalized nutrition;meal customization;nutritional analysis;dietary planning;
Background/Objectives: Identifying and decomposing compound ingredients within meal plans presents meal customization and nutritional analysis challenges. It is essential for accurately identifying and replacing problematic ingredients linked to allergies or intolerances and helping nutritional eval ...
Leto: 2025 Vir: Fakulteta za zdravstvene vede (UM FZV)
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