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With "Epicure," London-based startup Kaikaku.AI presents three AI models that are the first to clearly separate whether an ingredient fits a recipe or is chemically related. Trained on 4.14 million recipes in seven languages and the FlavorDB flavor database, each variant returns different recommendations. The purely chemistry-based model even classifies taste and nutritional values better than the recipe-based alternatives, despite never seeing that information directly.
The article Ask AI what goes with chicken and the answer depends on whether it learned from recipes or molecules appeared first on The Decoder.
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<p>A retrieval-augmented generation (RAG) system is built to answer strictly from the documents it retrieves. But when engineers optimize these AI pipelines end-to-end, the reader module can lea [...]