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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.
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