---
title: "AI hallucinations – why models make things up | Sweet Lava"
description: "An AI hallucination is a model stating false information with full confidence: invented numbers, sources, facts. See why it happens and how to limit it."
url: https://sweetlava.eu/en/glossary/ai-hallucinations/
lang: en
alternate_pl: https://sweetlava.eu/pl/slownik/halucynacje-ai/
---

SEO & AI 

# What is AI hallucinations?

An AI hallucination is a language model stating false information with full confidence: an invented number, a non-existent source, a wrong fact. It isn't a defect of one particular product but a natural consequence of how the models work.

A language model predicts the most probable continuation of a text – it doesn't verify facts. Where data is missing, it fills the gap with something statistically plausible, and it sounds just as confident as when it's right. Well-known cases include invented court rulings in lawyers' briefs and non-existent papers in bibliographies.

Hallucinations can be reduced, though not eliminated: RAG makes the model answer from designated sources, a well-designed prompt lets it say "I don't know", and testing on real cases catches weak spots before launch. In high-stakes processes (law, finance, health) the last word belongs to a human.

**Warning sign:** a vendor promising an AI implementation "with no errors" either doesn't know the tool or is counting on you not knowing it. We work with AI daily – and that is exactly why we design processes so it's clear when the model is wrong.

## Related services

- [ AI integration services → ](https://sweetlava.eu/en/services/ai-integration-services/)

## Related articles

AI · 12 June 2026

## [ Implementing AI in a company, step by step – what our own projects taught us ](https://sweetlava.eu/en/blog/ai-implementation-step-by-step/) 

How AI implementation works in practice – from a data audit, through a pilot with a measurable goal, to team enablement. With concrete price ranges and a list of situations where AI isn't worth it.

## Related terms

- [LLM (large language model)](https://sweetlava.eu/en/glossary/llm/)
- [Prompt & prompt engineering](https://sweetlava.eu/en/glossary/prompt-engineering/)
- [RAG (retrieval-augmented generation)](https://sweetlava.eu/en/glossary/rag/)

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