Hallucinations in Production LLMs: 7 Fixes That Stick, Backed by Real Deployments
A bank's chatbot hallucinates a refund policy, sparking chaos. Here's how pros tame LLMs in the wild with data-driven defenses that actually hold up.
⚡ Key Takeaways
- Treat hallucinations as system design, not model tweaks — RAG and tools deliver 70%+ cuts.
- Mandate citations and verifiers; production data shows 50-60% error drops.
- Continuous monitoring prevents drift; ignore it, and gains vanish overnight.
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Originally reported by KDnuggets