May 22 | 10:00 - 10:45 AM PT
Current evaluation methods are too coarse-grained, unscalable, or costly to meet the demands of real-world enterprise deployments. Worse, too many teams are still relying on “vibes” instead of quantitative data to assess model performance—leading to hallucinations, lack of confidence, and delays in getting into production.
Going from prototype to production requires a systematic approach to evaluation—one that captures your business objectives, includes quantitative benchmarks to tell you where the model is failing, and enables you to iteratively improve the system.
In this webinar, you'll learn:
Blockers to building good evals and how to overcome them
How to define clear evaluation objectives
How to build reliable eval sets using agentic pipelines
How top enterprises are scaling high-value use cases through continuous evaluation and feedback loops
