Instead of describing your taste preferences in abstract terms, few-shot prompting shows AI examples of dishes or flavor combinations you actually enjoy. This concrete approach trains AI on your specific palate much faster than general descriptions, producing recommendations that reflect your preferences rather than generic assumptions.
Few-shot prompting is a technique where you provide an AI with a small number of examples of your preferences before making a request, giving the model enough context to infer your tastes and apply them consistently throughout its response.
In cooking, this means you can show AI a handful of meals you love and a few you dislike, and it will use those examples to filter recipe suggestions, adjust flavor intensity, and prioritize ingredient combinations that actually match how you eat rather than defaulting to generic popular choices.
Peri can explain this concept, give practical examples, help you decide whether it applies to your situation, or recommend a journey if appropriate.
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