Your LLM isn't lying to you. You just trusted it too much.

Short summary

LLMs generate plausible but sometimes false outputs because they predict tokens from learned patterns, not retrieve facts. Production systems require: grounding outputs in source material via RAG, enabling confidence scoring, and routing uncertain answers to human review. This shifts hallucination from catastrophic failure to manageable edge case.

• •LLMs hallucinate because they predict text patterns without fact-checking, not due to model defects
• •RAG, confidence scoring, and human-in-the-loop are non-negotiable production patterns
• •High-stakes applications (medical, legal, financial) require human review as final gate

Generated with AI, which can make mistakes.