Glossary

Generative AI

What is Generative AI?

Generative AI refers to AI systems that create new content – text, images, audio, video or program code – rather than merely sorting or assessing existing data. They are based on models that learn patterns from large amounts of data and use them to produce plausible new outputs. In business it is used, for example, to draft emails, summaries, product descriptions or image ideas. Results can contain errors and should be checked before use.

How KI.ordo helps

KI.ordo uses generative AI for text: agents and flows deliver drafts that people review and approve in projects.

Learn more →

Topics

Core concept
Content creation
Language models

Try KI.ordo

Agents, flows and templates in one workspace – free 24-hour demo.

Start demo

← All terms

Related terms

Large language model (LLM)

A large language model (LLM) is a neural network trained on very large amounts of text, enabling it to understand and generate language. It works by calculating the most likely next token, step by step. LLMs write, summarise, translate, answer questions and generate code; well-known examples include Claude, GPT, Gemini and Llama. Without access to current sources, they only know what was in their training data.

Language models
Generative AI
+1

Text Generation

Text generation is the automatic production of text by AI, nowadays usually by large language models that calculate the most likely continuation word by word. It is a branch of natural language generation and a core application of generative AI. Organisations use it to draft emails, reports or product descriptions; facts and figures should be checked before publication.

Generative AI
NLG
+1

Template

Foundation model

A foundation model is a large AI model pre-trained on very extensive, wide-ranging data that can then be used for many different tasks. The term was coined at Stanford University in 2021. Well-known examples include large language models such as Claude or GPT, as well as image models. Businesses usually build their applications on such models rather than training their own from scratch; the EU AI Act refers to general-purpose AI models.

Base model
Language models
+1

Stable Diffusion

Stable Diffusion is a family of image generation models that create pictures from a text description. The first version was released in 2022, developed under the lead of Stability AI together with research partners. Technically it is a latent diffusion model that gradually turns image noise into a picture. Because the model weights are published, it can be run and customised locally; commercial use of newer versions is governed by Stability AI's own licence (as of October 2026).

image generation
diffusion model
+1