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AI Models Split Recipe Logic From Flavor Chemistry
New research from Kaikaku.AI argues that food recommendation systems should distinguish between ingredients that appear together in recipes and those that are chemically similar.
Key Takeaways
- Epicure includes separate models for recipe co-occurrence, flavor chemistry and a blended approach.
- The system was trained on 4.14 million recipes from eleven sources in seven languages.
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DT Editorial Team··via the-decoder.com