Why I Stopped Trusting LLM Outputs and Built a Confidence Floor Instead
中文摘要
作者通过建立置信度底线、幻觉检测和评估门禁等安全护栏，确保了大模型在受监管行业中的输出可靠性。
English Summary
The author details building safety guardrails—confidence floors, hallucination detection, and eval-gated deploys—to ensure LLM reliability in regulated industries.
Original Excerpt
How I built LLM safety guardrails — confidence floors, hallucination detection, and eval-gated deploys — for AI in regulated industries Continue reading on Medium »