Foundation models are at home in the world of artificial intelligence, big data and digital transformation. They form the centrepiece of modern AI solutions and are large, pre-trained models that learn from huge amounts of data. Instead of developing new models for every task, foundation models can be used in a variety of ways - for example for text analysis, image recognition or voice assistants.
An illustrative example: A foundation model, such as ChatGPT, has been trained with vast amounts of text from the Internet. It can now use this knowledge to solve a wide range of tasks - from answering customer enquiries to automatically generating text for websites. This means that companies no longer have to develop a separate system for each application, but can adapt a foundation model to their needs.
Foundation models therefore enable faster and more cost-effective development of digital solutions and save time and resources. They are seen as drivers of innovation because they significantly lower technological barriers for companies. This means that even small and medium-sized companies can benefit from powerful artificial intelligence without the need for specialised knowledge.
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