Its main goal is to create something new – in the form of text, images, sound or other media.
Generative artificial intelligence (generative AI, GenAI) refers to a type of AI system that can independently generate new content rather than just relying on predefined data.
Generative AI will change a lot
This technology uses complex algorithms and models to recognise patterns in large amounts of data and create original content based on them. Applications of generative AI include the creation of text, images, music and even videos. Generative AI has the potential to revolutionise numerous industries by automating creative processes and enabling personalised content on a large scale.
However, this technology also raises ethical questions, for example with regard to copyright and the dissemination of fake information.
How do AI and GenAI differ?
The main difference between general artificial intelligence (AI) and generative AI lies in the capabilities and goals of the two technologies:
General artificial intelligence (AI) encompasses a broad spectrum of technologies and approaches that aim to simulate human intelligence in various fields. This can include tasks such as data analysis, speech recognition, decision-making and problem-solving. Most AI systems process data to recognise patterns and efficiently perform predefined tasks based on these patterns.
Generative artificial intelligence (GenAI) is a specialised form of AI designed to create new and original content. While general AI often analyses data and responds, generative AI uses complex statistical models to generate new data or creative works that were not explicitly given beforehand. Its main goal is to create new content in the form of text, images, sounds or other media.
In summary, generative AI is about creating new content, while general AI is primarily focused on analysing existing data and making decisions or executing actions based on that data.
