AI Glossary

An AI-powered system that can take actions in an environment. For example, an LLM that has access to a suite of tools and has to decide which one to use in order to accomplish a task that it has been prompted to do.

A set of instructions or rules designed to solve a problem or accomplish a task.

A set of rules and tools for building software applications. In AI, APIs allow developers to access and use pre-trained models or services.

A term used to describe future machines that could match and then exceed the full range of human cognitive ability.

The field of computer science that focuses on creating systems capable of performing tasks that typically require human intelligence. These tasks include learning, reasoning, problem-solving, and understanding language.

A computer program designed to simulate conversation with human users, often through text or voice interactions.

A field of AI focused on enabling machines to interpret and understand visual information from the world, such as recognizing objects in images.

An AI model developed by OpenAI specifically designed for generating images from textual descriptions.

A structured collection of data. In the context of AI and ML, datasets are used for training, validating, and testing models.

An approach to AI inspired by how neurons in the brain recognise complex patterns in data. The “deep” refers to the many layers of neurons in today’s models that help to learn rich representations of data to achieve better performance gains.