Day: January 14, 2026
LLMOps: Evaluation, Monitoring, and QA — Practical Guide for Engineering Reliable LLM Systems
A technical, evidence-based guide to LLMOps: Evaluation, Monitoring, and QA. Covers evaluation frameworks, production monitoring (tracing, embedding drift, hallucination detection), red‑teaming and QA workflows, design trade‑offs, common implementation mistakes, and runnable practices with references to OpenAI Evals, lm-eval, BEIR, LangSmith, Arize, and whylogs.