Generative AI
AI that produces new text, images or other content in response to a prompt, rather than only classifying or retrieving what already exists. It is the foundational subject of every course in the training catalogue.
Definitions for the terms used across this site's training courses, its audit methodology and the two regulations every foundational programme is built against.
AI that produces new text, images or other content in response to a prompt, rather than only classifying or retrieving what already exists. It is the foundational subject of every course in the training catalogue.
The technology behind tools such as ChatGPT and Copilot: a model trained on a very large amount of text to predict and generate language. It is the basis both for the courses taught here and for the workflows an audit identifies.
A confident, plausible-sounding answer from an AI system that is factually wrong. Recognising one, and checking for one, is covered in every foundational course this site runs.
The instruction a person gives an AI system to produce a result. Writing effective prompts is one of the practical skills every set course teaches.
Structuring a prompt deliberately, rather than typing the first phrasing that comes to mind, so the result is closer to what is actually needed. Taught as a practical skill in the foundational courses, not as theory.
A system built to carry out a sequence of steps on its own, calling tools and making decisions along the way, rather than producing a single response to a single prompt. Whether a workflow needs to be an agent, or something simpler, is a question an audit's Identify and Test/Prototype steps answer.
The European Union's regulation governing how AI systems may be built and used, with obligations that scale to the risk a system carries. Assessed inside every audit's Identify step, and built into the foundational training programmes rather than added as a separate module.
The EU's data protection regulation, covering how personal data may be collected, used and stored. Relevant wherever an AI system touches personal data, and checked alongside the EU AI Act at the same Identify step.
The one way to start an audit or a bespoke training programme. Nothing is quoted or scheduled before it; it establishes which processes are in scope and who needs to be in the room.
A diagnostic, not a named product: one five-step methodology (Map, Document, Identify, Test/Prototype, Build & Scale) applied to an organisation's own processes, run the same way for an SME and for an Enterprise.
Set out in full on How We AuditA training session that runs to a published outline, rather than being built from scratch. Six set courses currently make up the catalogue.
A training programme built from an organisation's own processes and documents, rather than a published outline, scoped in a conversation.
One of the two segments this business describes a client by, alongside Enterprise, used instead of naming the client on the case studies this site publishes and everywhere else a client's size matters.
The larger of the two segments this business describes a client by, alongside SME.