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Software that performs tasks such as recognising patterns, understanding language or making predictions.

What it can do: Spot unusual transactions or help answer a question.

A way of building AI by learning patterns from examples rather than writing a rule for every situation.

What it can do: Predict demand from past sales or filter spam.

AI that creates new text, images, audio, video or code from patterns learned during training.

What it can do: Draft an email, create an illustration or suggest code.

A model trained on large amounts of text to process and generate language. Many chat assistants use LLMs.

What it can do: Summarise a report, explain a topic or translate text.

Methods that help computers work with human language, including text and speech.

What it can do: Classify customer feedback or extract names from documents.

An approach that retrieves relevant information and gives it to a model to help produce an answer.

What it can do: Answer questions using a company handbook; accuracy still needs checking.

A defined way for software systems to request data or actions from each other. It is used across software, including AI.

What it can do: Let an AI app request a weather forecast from another service.

A shared protocol for connecting AI applications to tools and data sources.

What it can do: Give an assistant access to a document search tool with the permissions you allow.