EN
Sign inGet started
Glossary

Text Generation

What is 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.

How KI.ordo helps

The KI.ordo template “Report from bullet points” turns notes and figures into a readable report and keeps the figures unchanged.

Learn more →: Text Generation

Matching templates

Topics

  • Generative AI
  • NLG
  • Writing

Try KI.ordo

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

Start demo
← All terms

Related terms

Natural language generation (NLG)

Natural language generation (NLG) is the area of language processing that produces understandable text from data, bullet points or other inputs. Earlier NLG systems relied on templates and rules; today most use large language models. Typical uses include weather and stock market reports, product descriptions, summaries of key figures and chatbot answers. It is important that figures and facts from the inputs are carried over correctly and unchanged.

  • language processing
  • text generation
  • +1
Template

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.

  • Core concept
  • Content creation
  • +1

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

Prompt

A prompt is the input that tells an AI model what to do – a question, a task or an instruction, often supplemented with context, examples and the desired format. The quality of the answer depends heavily on how clear and complete the prompt is. For example, rather than “Write something about our product”, use “Write three short benefits of product X for trade businesses, in a factual tone”.

  • prompting
  • input
  • +1
Template