Parametric AI models are a term used in the fields of artificial intelligence, big data, smart data and digital transformation. They describe a special type of artificial intelligence in which the system is based on fixed, predetermined variables - known as parameters. These parameters are adjusted during the training process so that the model achieves better and better results.
Imagine parametric AI models as a huge network of adjusting screws. These screws can be turned in such a way that the system ultimately finds optimal solutions. A good example is image recognition: a parametric AI model is trained with many photos. It adjusts its parameters until it can easily recognise what can be seen in new images, for example distinguishing dogs from cats.
The advantage of parametric AI models is that they can efficiently process large amounts of data and quickly recognise patterns. This makes them particularly useful for companies that want to gain valuable information from huge amounts of data as part of the digital transformation or when dealing with big data.
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