Artificial intelligence (AI) has been a hot topic in the business world for years. Visionaries never tire of painting the future in the most dazzling colors. Bill Gates recently predicted that AI will significantly change healthcare in five years – new fodder for imagination and AI adoption.
This is changing with the availability of pre-trained FMs, such as large language models. Companies that want to develop specific AIs for their application scenarios no longer need to take the time-consuming route of reinventing the wheel. They can use existing FMs as a generative AI tool to further develop them for their specific tasks. Clouds such as AWS offer all the necessary AI tools for training and developing (Fig. 1). This massively accelerates the provision of AI applications. In addition to specially designed infrastructures and frameworks, AWS also offers access to various FMs. A particular strength when working with pre-trained FMs from the cloud is the simple rollout of a proof of concept to a productive environment.
The FMs include the in-house Titan Text and Titan Embeddings as well as Jurassic-2, Claude and Stable Diffusion, which were published by well-known AI start-ups. Llama-2 is also available. Companies can use these FMs to develop their own GenAI solutions very quickly. Amazon Bedrock gives users access to AI services via an API. It is not necessary to set up own infrastructure. With the wide selection, the appropriate foundation model can be selected depending on the purpose of the Generative AI to be developed.