data.blog - Facts about Data Science & Artificial Intelligence
LLM Explainability: Why the "why" is so important
"Explainable AI" (XAI) is crucial for understanding the decision logic of highly complex AI models such as LLMs. Suppose you have applied for a loan from a bank. In a conversation with the bank representative, you are told that your...
Generative artificial intelligence: the end of an illusion
The legal disputes regarding copyrights in the training of image or art-generating algorithms have not yet been decided. However, regardless of the outcome of the proceedings, the development will scrutinise the position of artists and...
The 14 Top Large Language Models: A Comprehensive Guide
Large-scale language models are a key innovation in the field of artificial intelligence and are changing the way we interact with technology. These sophisticated models, which are built on the basis of large data sets,...
Data preprocessing: compactly explained
As data-driven decisions characterise almost every sector and industry, data has reached a level of importance that is often compared to oil. Much like oil, it requires careful processing and handling before it can be utilised by...
Big data and cloud computing: how companies benefit from data-driven decisions
In the context of the ongoing digitalisation of the business world, big data and cloud computing are playing an increasingly important role for companies that want to use their data effectively. The combination of these two technologies...
The roadmap to the EU AI Act: a detailed guide
Although artificial intelligence has the potential to improve various areas such as healthcare, manufacturing and education, there is a risk that it could have unfair and unintended consequences for both individuals and organisations.
European AI Act
Technological and legal advice