Generative AI (GenAI) is technology that produces or transforms content such as text, images, audio, video or computer code in response to instructions (prompts). It generates output by identifying and reproducing patterns learned from large collections of data. You may see GenAI in standalone tools like ChatGPT and Claude, or as a feature within writing, research, design and productivity tools.
The quality of output depends on a number of things including:
- the prompts used
- the dataset used by the GenAI tool
- the model and version
- whether the tool can retrieve current sources
- settings and safety controls
the user's ability to refine and evaluate the results
GenAI can produce text that resembles critical analysis but it lacks human understanding, responsibility and judgment.
Artificial Intelligence refers to systems developed to allow machines to carry out tasks that normally require human intelligence.
Machine Learning is a field within AI that develops and uses algorithms to allow computer systems to learn and adapt. It improves performance over time without being explicitly programmed for each task.
Large Language Model is a type of AI model trained on vast amounts of text data to understand and generate human language. ChatGPT is an example of a large language model.
ChatGPT was developed by Open AI. It understands and generates simulated, human-like text. It can answer questions, assist with writing, and engage in interactive dialogue.
GPT stands for generative pre-trained transformer.
To find out more about generative AI take a look at this video:
Generative AI in a nutshell: How to survive and thrive in the age of AI [Video, 17.56 mins].
Last reviewed 10 Sept, 2026

Example 1