This blog post discusses the challenge enterprises face with Language Learning Models (LLMs) generating plausible but incorrect responses, known as hallucinations. It introduces the Cleanlab Trustworthy Language Model and its implementation in the NVIDIA NeMo Guardrails framework to help mitigate this issue and ensure more reliable outputs from LLMs.