adesso BLOG

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.

Personalised customer experiences have become a must for businesses and artificial intelligence (AI) can help them reach a whole new level. By customising their customer approach, implementing efficient support solutions and developing targeted marketing strategies, companies can use AI to redesign and improve their customer interactions.

Artificial intelligence (AI) has started receiving bad publicity since Midjourney and ChatGPT came on to the scene. Not only are the ethical and economic implications of large-scale AI models the subject of much discussion, concerns about their environmental impact are getting louder, too. With that in mind, I will use this blog post to explore the question of how sustainable AI really is and – spoiler alert – what we need to do to make AI more sustainable. You will also learn why training the models is not the biggest problem from an environmental standpoint.

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.