Foundation models are at home in the world of artificial intelligence, big data, and digital transformation. They form the core of modern AI solutions and are large, pre-trained models that learn from vast amounts of data. Instead of developing new models for every task, foundation models can be used in a versatile way – for example, for text analysis, image recognition, or for voice assistants.
A vivid example: A foundation model, like ChatGPT, was trained on vast amounts of text from the internet. Based on this knowledge, it can now solve a wide range of tasks – from answering customer inquiries to automatically generating website content. This means companies no longer have to develop their own system for every application, but can adapt a foundation model to their needs.
This allows Foundation Models to enable faster and more cost-effective development of digital solutions, saving time and resources. They are considered innovation drivers because they significantly lower technological barriers for businesses, allowing even small and medium-sized companies to benefit from powerful artificial intelligences without requiring specialised knowledge.
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