In this session, we dive into how early-stage evaluation—during dataset preparation and prompt iteration—can help you build more reliable GenAI systems.

What you’ll learn:

• Why early evaluation is critical to catching issues before deployment

• How to run multi-modal evaluations across various model outputs

• Setting up custom metrics tailored to your use case

• Using user feedback and error localization to improve model performance

• How to bring engineering discipline into your AI development process

This webinar is ideal for AI engineers, ML practitioners, and product teams looking to improve reliability, speed, and trust in their AI workflows.