Researcher compresses culinary knowledge into 2MB dataset

Josef Chen created a compact dataset capturing the essence of human cooking—likely through recipe extraction and compression techniques. For indie makers building food apps, recipe engines, or AI tools, a highly compressed culinary knowledge base could enable smaller models and faster inference without sacrificing useful recipe data.