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 \u2013 for example, for text analysis, image recognition, or for voice assistants.<\/p>\n
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 \u2013 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.<\/p>\n
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.<\/p>","protected":false},"excerpt":{"rendered":"