adesso Blog
21.12.2023 By Jonas Abel and Nicole Zieger
Why change management is critical to whether or not an AI initiative succeeds
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.
Read more15.12.2023 By Marc Mezger
Mistral and Phi – a revolution based on small (fine-tuned) language models?
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.
Read more27.11.2023 By Azza Baatout
Why traceability is important in artificial intelligence
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.
Read more20.11.2023 By Lilian Do Khac
Machine-generated text summarisation in Aleph Alpha Luminous using R: part 3
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.
Read more09.11.2023 By Sezen Ipek
Requirements engineering for AI projects: how to add requirements for text summarisation
Requirements engineering has become a key factor in machine learning projects in the age of artificial intelligence and machine learning. This blog post explains the importance, the theoretical underpinnings and the approach taken in this critical step in the process of developing AI systems.
Read moreAn anomaly is a data point or pattern in a time series that differs from the data you would typically expect to receive. Anomaly detection deals with the task of identifying these irregularities. In this blog post, we will be presenting approaches used to analyse time series data and detect anomalies. Along with that, you will also find out how to successfully integrate the algorithms into a smart product platform.
Read more02.11.2023 By Laura Schöning
Is AI the next step forward in the evolution of content management systems?
Looking back, CMS systems have been on an amazing journey, going from simple text editors to highly customisable platforms that can now be used for a wide range of applications. In my blog post, I will look into the evolution of CMS and explore how a combination of CMS and AI tools can generate added value.
Read more27.10.2023 By Lilian Do Khac
Machine-generated text summarisation in Aleph Alpha Luminous using R: part 2
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.
Read more10.10.2023 By Lilian Do Khac
How to use R to integrate an interface into the Aleph Alpha Luminous API
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.
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