Catch GenAI Failures Before Users Do
Most teams still ship GenAI with manual spot-checks. That doesn’t scale. In this 45-minute session, we’ll show how top teams evaluate and monitor LLM/RAG systems to catch hallucinations, score output quality, and track drift—before users ever see a bad answer.
You’ll learn how to:
Detect hallucinations and behavior shifts in minutes
Score retrieval and generation with 200+ metrics (or your own)
Set up baseline monitoring and regression tests for releases
Turn eval results into shareable, decision-ready reports
Who should attend
AI/ML engineers, MLOps, AI product managers, platform/infra leads, and consultancies deploying GenAI for clients.
Agenda (45 min)
5 min — Why GenAI QA fails (and how to fix it)
20 min — Live demo: evaluation → monitoring → insights
10 min — Use cases & quick wins
10 min — Q&A
Takeaways
Links to docs, tutorials, and a free trial so you can replicate the workflows shown.