Adding Observability to Your End-to-End ML/GenAI Workflows

This webinar will review the entire process to build ML Models within Snowflake, with a special emphasis on adding observability on production models deployed via Snowflake Model Registry. Understand how to track model performance over time and detect model behavior change due to input drift.

The webinar will also cover how to add AI Observability into your LLM applications. Learn how easy it is to evaluate RAG performance by understanding the context relevance, answer relevance and groundness of the responses provided.

Agenda

• ML Observability
  • End-to-end ML within Snowflake review
  • Model observability workflow
  • Model monitors
  • Monitor metrics
  • Detecting model performance demo
• AI Observability
  • Evaluate possible failures in RAG Apps
  • Evaluate RAG performance
  • AI Observability in Snowsight
• Q&A