Frequently Asked Questions

Technology capable of understanding, interpreting and responding to spoken and/or written human language. It goes beyond simply recognizing words and phrases.

Large Language Models (LLMs) are advanced AI models that are trained on massive amounts of text data to predict human language. They can perform complex tasks such as text generation, translations, summaries and question answers by recognizing patterns and structures in language.

One knowledge graph is a network of data that is linked by relationships, providing a structured overview of knowledge. It helps AI systems understand information, analyse it and make connections between different concepts.

is an AI technique where a model retrieves relevant information from one or more internal and external data sources and uses it to generate more accurate and contextual responses.

Is a confident response from an AI that generates false or fabricated information. This can result in output with erroneous facts, illogical answers, or non-existent events.

The European AI Act is a regulation of the European Union that regulates the use of algorithms and AI and requires that risks for people and society are minimized.

Big tech is a collective name for a group of internet companies that are a global leader in internet technology. The most well-known companies: Alphabet (Google's parent company), Apple, Meta, Amazon & Microsoft.

Chatbots are programs that interact with people via language. The user asks a question and the bot answers. In doing so, they simulate a human conversation. Most chatbots communicate in written text, but more and more chatbots use voice (voicebots).

Data cleansing is the process of finding and repairing missing or incorrect data, so that the data meets the quality standards of the organization and the supervisor. For example, deduplication of data or removal of obsolete data.

Deep learning is a type of machine learning that uses artificial neural networks to enable digital systems to learn and make decisions based on unstructured, unlabeled data.