AI Hallucination
How AI Hallucination Works in Production
Language models predict the most statistically probable next token given their training corpus; they do not possess an internal model of ground truth. When prompted on topics with sparse representation, ambiguous context, or leading questions, models generate plausible-sounding falsehoods. Engineering practices mitigate hallucinations using strict retrieval grounding, low temperature settings, and citation validation.
Practical Enterprise Workflow
An ungrounded LLM asked for case law precedents invents a non-existent court decision: 'Vance v. Continental Air, 2021'. A grounded RAG system with citation verification intercepts the claim, detects zero supporting document IDs, and returns a verified fallback response.
Related Engineering Practices
Related Glossary Terms
About Aurevion AI
Custom AI systems, private RAG architectures, and sovereign software development for growing engineering teams.
Aurevion AI engineers dependable production artificial intelligence systems, sovereign retrieval-augmented generation pipelines, autonomous agentic workflows, and modern high-concurrency software applications. We partner directly with engineering leaders across North America and Europe, deploying zero-trust private cloud architectures with complete intellectual property ownership, deterministic reliability guarantees, and transparent sprint-based technical team collaboration.