adesso Blog

In this blog post, I will take a closer look at traceability tools that show great promise with you and go beyond theory by showing practical applications in AI projects. I will also be presenting a demo to show how these tools not only support the technical side of research, but also how they can be used in practice.

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 the world of artificial intelligence (AI), it has often been assumed that larger models are better. However, recent research shows that smaller language models, which were previously considered to only be an intermediate step on the path towards larger models, outperform or at least match the performance of large language models (LLMs) in various applications. In my blog post, I explore this point and present a variety of small language models. I will also take a look at the pros and cons of SLMs in a direct comparison with LLMs.

In this blog post, I would like to take you on an exciting journey through the world of traceability in AI projects and give you a look inside the challenges surrounding the black box dilemma. I will also explore the key role that traceability plays in the transparent and ethically responsible development of AI systems.

This is the third and final instalment of my blog series titled ‘Machine-generated text summarisation in Aleph Alpha Luminous using R’. Here, I will use a high-level example to explain the various steps in a transformation pipeline and present the intermediate results.

Running large language models using a fancy, ready-to-use interface increases accessibility for many, even for people who do not know any programming languages. Part two of my blog series focuses on technical aspects such as specifying the scope of the summary, prompt engineering and quality factors.

Running large language models using a fancy, ready-to-use interface increases accessibility for many, even for people who do not know any programming languages. Part two of my blog series focuses on technical aspects such as specifying the scope of the summary, prompt engineering and quality factors.

Running large language models using a fancy, ready-to-use interface increases accessibility for many, even for people who do not know any programming languages. In my blog post, I will focus on the backend component in R and explain how R is used to manage interface integration into Aleph Alpha.

Artificial intelligence (AI) technology is set to play a key role in shaping the coming industrial revolution. With the EU AI Act, the European Union is taking a leading role on the global stage. But what about other major powers like the US and the People’s Republic of China? In my blog post, I would like to outline the differences and similarities between the approaches each one is taking.