How to Monitor Generative AI Systems in Production (Cost & Quality) #GenerativeAI #GenAI #LLMOps

Description

How do companies monitor Generative AI systems in production? In this video, we explain how teams track cost, quality, and performance in real GenAI systems. Monitoring Generative AI systems is very different from traditional ML systems. In production, teams need to track not just performance, but also cost, hallucinations, response quality, and user experience. In this video, we break down how companies monitor GenAI systems in real-world deployments. You will learn: - Why GenAI monitoring is different from traditional ML monitoring - Key metrics for cost, latency, and quality - How to track hallucinations and relevance - What to monitor in RAG-based systems - Practical monitoring architecture used in production - Common mistakes teams make This video is part of Practical GenAI, focused on real-world GenAI, system design, MLOps, and AI careers. Subscribe for practical, no-hype explanations of GenAI systems. #GenerativeAI #GenAI #LLMOps #MLOps #AIEngineering #AIArchitecture #RAG #PracticalGenAI