Pretrained models are an important term in the fields of artificial intelligence, big data, smart data and digital transformation. They refer to ready-made, pre-trained computer models that are used in the development of AI applications.
Instead of starting from scratch with huge amounts of data every time, companies use pretrained models that have already been "pre-trained" by experts using large data sets. This saves time, costs and computing power. These models can be used, for example, to automatically analyse texts, recognise images or even translate speech in real time.
An illustrative example: A medium-sized company wants to use a chatbot for customer service that can automatically understand and answer customer enquiries. Instead of completely "training" the bot itself, the company uses a pre-trained model that already has a general understanding of language. With a little fine-tuning, adapted to the company's own products and customer questions, the chatbot works quickly and reliably.
In short, pretrained models make artificial intelligence much easier and faster to utilise - especially for companies that do not have huge amounts of data or large IT teams.
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