Glossary

Large language model (LLM)

What is 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.

How KI.ordo helps

KI.ordo uses large language models from Anthropic’s Claude family and combines them with instructions and your own knowledge.

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Topics

Language models
Generative AI
Core concept

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Related terms

Transformer

The transformer is a neural network architecture introduced in 2017 in the research paper “Attention Is All You Need”. At its core is the attention mechanism: each word is weighted in relation to all other words in a text, and the computation can be parallelised efficiently. Transformers underpin today's language models such as GPT, Claude and BERT and are also used for images and audio.

Architecture
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Token

A token is the smallest unit of text a language model processes, usually part of a word, a short word or a punctuation mark. Models read inputs and generate answers token by token, and the size of the context window is also measured in tokens. Because providers charge for input and output tokens, tokens directly determine costs and limits: long instructions and extensive background knowledge increase consumption.

LLM
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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
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Claude

Claude is a family of large language models from the US AI company Anthropic. The models understand and write text in many languages, analyse documents, write code and can use tools, for example for research or automation. Best known are the model families Haiku, Sonnet and Opus, which differ in speed, cost and capability. Anthropic places particular emphasis on safety and reliable model behaviour.

Anthropic
language model
+1