Self-learning algorithms
Advanced, self-learning algorithms are considered forms of artificial intelligence (AI). AI is developing fast, which is making advanced algorithmic decision-making models increasingly powerful and complex. Examples of AI are models with machine learning or deep learning and neural networks.
On this page
Machine learning or automatic learning
By training a model with a large amount of data (for example, pictures of flowers), it can eventually recognise objects itself (flower yes/no), make distinctions (type of flower), make suggestions (sun or shade) and generate its own proposals for specific situations (location of the garden, soil type, flowering season, etc.).
Deep learning
These are types of machine learning models, with a layered structure. These models are fed with large amounts of data and can recognise patterns and perform complex tasks.
Large language models (LLM)
By collecting, searching and analysing large amounts of text, a chatbot can formulate answers to questions or an LLM can perform tasks. Such as automating the creation of presentations, plans, documentation or letters. Applications are also emerging for images and video that use an LLM via text-to-image to generate images or video from text.