adesso BLOG

The world of artificial intelligence (AI) has evolved rapidly with the introduction of generative models such as ChatGPT. This blog post takes a look at use cases for generative AI and considers the future possibilities of this technology.

Large Language Models (LLMs), above all ChatGPT, have taken all areas of computer science by storm over the past year. As they are trained on a broad database, LLMs are fundamentally application-agnostic. Despite their extensive knowledge, however, they have gaps, particularly in highly specialised applications, which in the worst case can only appear to be compensated for by hallucinations. To reduce this risk, "Retrieval Augmented Generation" (RAG) has been established.

Generative AI has been everyone’s mind since ChatGPT came on to the scene. But what exactly does this term mean and how is generative AI different from the well-established concepts of machine and deep learning? This blog post takes a general look at AI technologies and highlights the differences that make generative AI so intriguing and promising in an ever-changing world.

GenAI opens up great opportunities for insurance companies to generate value. Likewise, it is also becoming a key driver of their digital transformation. The rapidly evolving technology can be used to automate and speed up insurance processes and significantly improve the customer experience. From a financial perspective, insurers benefit from GenAI’s ability to more accurately assess risks.

With all the hype currently surrounding generative AI (GenAI), people are divided into two main camps, namely those who support it and those who remain sceptical. This blog post provides a short overview on how GenAI can drive innovation in the insurance sector and why effective change management is important for both its sceptics and proponents.

In this blog post, I will explain what generative AI does and how it can be used in creative fields. I will be presenting issues and risks associated with this technology as well as its impact on the creative industry and how people work in this space. You can look forward to fantastic insights into the fascinating world of generative AI, and you will also find out learn how it can change the way we make art, music and even literature.