# Large Language Model Llm
**Source:** https://glossary.keenfunnel.com/terms/large-language-model-llm
**Language:** German

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## Technische Erklärung

Many current LLMs use transformer architectures and self-supervised pre-training to estimate token probabilities from context, followed by adaptation such as instruction tuning or fine-tuning. Applications wrap the model with prompts, retrieval, tools and controls.

## Geschäftliche Relevanz

LLMs can support drafting, classification, extraction, search and software tasks, but value depends on workflow design, evaluation, data governance and human oversight.

## Implementierungsbeispiel

A support assistant retrieves approved product documentation, sends relevant passages to an LLM and requires cited answers with escalation for low-confidence cases.

## Einschränkungen und häufige Missverständnisse

LLMs can produce plausible errors, expose sensitive data, reproduce bias and behave unpredictably across prompts. They do not inherently verify truth, authorisation or current context.

## Themen

Systemarchitektur KI-Governance Data Engineering Intelligente Automatisierung

## Quellen

NIST CSRC Glossary — Large language model — NIST — AI RMF Generative AI Profile — https://www.nist.gov/publications/artificial-intelligence-risk-management-framework-generative-artificial-intelligence

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