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A model that generates complex recipes from images of available ingredients

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Artificial intelligence (AI) models have already made their way into a wide range of real-world settings, helping humans to tackle everyday problems faster and more efficiently. Recently, computer scientists have also been exploring their potential for assisting humans with creative tasks, such as coming up with interesting designs, poems and even recipes.
Artificial intelligence (AI) models have already made their way into a wide range of real-world settings, helping humans to tackle everyday problems faster and more efficiently. Recently, computer scientists have also been exploring their potential for assisting humans with creative tasks, such as coming up with interesting designs, poems and even recipes.

Two researchers at PeopleTec, a technology company based in Alabama, developed a computational model that can create complex recipes containing ingredients that users have available, after analyzing images of what is inside their fridge. Their approach, presented in a paper pre-published on arXiv, is based on models that can identify objects in images and GPT-4, the renowned large language model (LLM) developed by OpenAI.
“In 2020, a group of our AI researchers had a party game where one team would propose a list of ingredients and another would use a language model to dream up an original recipe,” David Noever, one of the researchers who carried out the study, told Tech Xplore.
“As the ingredients got more interesting, the recipes got worse and worse, finally degenerating into nonsense like ‘A Recipe for Hungarian Shoe Leather, serving 2 for breakfast’—basically, complete gibberish.

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