Many people prepare the same dishes throughout their lives, without even thinking about adding variety to their diet. It is not surprising that sometimes you want to try to make a new unusual dish.
If you used to have to spend hours flipping through a cookbook or cooking forums, nowadays it’s enough to use specialized AI that quickly generate a new recipe. In this article, we will talk about the most popular neural networks for cooking, as well as give some important tips to help you use them more effectively.
Are there neural networks for cookery?
AI was created to facilitate the work of people with large amounts of information, they give us the opportunity to quickly receive structured answers to any questions, regardless of their complexity. It is not surprising that many enthusiasts create special AI that specialize in performing specific tasks in various fields. Cooking was no exception.
At the moment, there are a large number of AI that can provide useful culinary tips, generate delicious cooking options, taking into account the user’s wishes, and also provide ideas for new culinary experiments.
AI capabilities for gastronomy
Neural networks for cooking can perform a large number of tasks that were previously considered the prerogative of professional chefs. AI Cooking Capabilities:
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Recipe generation – a AI can generate a suitable recipe based on the user’s tastes and preferences, taking into account possible dietary restrictions
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Identifying new flavor combinations – AI analyzes large amounts of flavor data, which allows it to identify new unusual flavor combinations that can inspire the user to new culinary experiments.
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Recipe adjustment – the AI helps to select the proportions of ingredients so that the dish gets the desired texture.
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Cooking training – artificial intelligence helps to create thoughtful courses based on the user’s current skills
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Visual assessment of dishes – modern AI models allow you to evaluate the visual appeal of a dish by its appearance, and provide recommendations on serving
Types of culinary AI
There are several main types of artificial intelligence networks that can be used in the field of cuisine. This classification is based on the tasks performed by the AI model and allows you to select a suitable model for specific purposes. Types of AI for preparing dishes:
• Recipe generators – such AI generate recipes in text format at the user’s request. They are convenient because they help you quickly get a delicious recipe with a full description of the process.
• Models for evaluating dishes – they process the photo that the user sends, determine the dish depicted on it and give its recipe. In addition, they can give recommendations on aesthetic serving.
• AI for cooking training – create a personalized roadmap with relevant topics to study, provide new recipes that the user can bake.
Features of neural networks for cooking
Culinary AI have a number of features that distinguish them from other language models. Firstly, such programs are capable of processing various types of data: from text to audio, which allows to increase the quality of user interaction and perform more tasks. In addition, artificial intelligence takes into account the individual preferences of the user, as well as information about his dietary characteristics.
Artifical intelligence language models for preparing dishes allow you to generate new recipes with unusual flavor combinations. Thanks to the use of convolutional models, you can analyze the visual appeal of dishes and search for recipes based on photos.
Among other things, culinary AI allow you to create personalized cooking training programs based on the student’s current knowledge and skills.
Useful tips
To effectively use neural networks in baking, you need to know a few simple rules. First of all, you should clearly define the purpose of using the model: to generate a list of ingredients, analyze a photo of a dish, or learn how to make new dishes.
Do not forget about personal preferences: if you want to make a good dish, specify your taste preferences in the request, as well as dietary recommendations and information about products that cause an allergic reaction.
The most important advice is to use suitable artificial intelligence. In order to facilitate the use of neural networks in cooking, you can use the Chataibot platform, which contains the latest models of multifunctional AI from leading IT companies. The service provides the ability to use neural networks for cooking without restrictions on the website, in Telegram, as well as using an extension in the browser.
Results
Culinary neural networks are a great tool for generating ingredient lists, visual analysis of dishes, and teaching culinary skills. Thanks to its ease of use, artificial intelligence can even be trusted to find new flavor combinations and create recipes for people with allergies to certain foods.
