adesso BLOG

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.

The European Union’s proposed AI Act will make working with artificial intelligence (AI) on a daily basis even more complex. Some potential AI applications might end up on a blacklist, while others remain untouched, but in a way, both applications use the same technology. It feels like AI roulette. The entire situation is poised to cause doubts during the idea phase of potential AI applications – namely, is my AI idea allowed? This is a question that crops up a lot at the moment.

During the summer semester, a case study was prepared on adesso tackling the question of how to usher the age of AI into its organisation. It identified the specific challenges the company faces, evaluated its development and made recommendations for action to the adesso management. I will present the results of the study in this blog post.

In this blog post, I would like to introduce you to an efficient way to make your company’s knowledge and documents accessible by integrating them into an easily searchable and interactive chat environment. The ultimate goal in this case is to make targeted queries and obtain precise answers based on the available documents and information. To demonstrate these functions, I will be using Luminous, the large language model from Aleph Alpha.