Evaluating enterprise GenAI apps with Snorkel – fast, actionable, and aligned
- Develop and validate LLM-as-judge evaluators that apply SME acceptance criteria at scale
- Uncover actionable insights by categorizing evaluation inputs and monitoring fine-grained metrics
- Streamline SME collaboration to ensure evaluators can be trusted by gathering ground truth and feedback
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As enterprises begin iterating on GenAI solutions, evaluation has become the next challenge. Done manually, it slows down development. Done with automated, out-of-the-box solutions, it fails to account for unique requirements, surface actionable insights, or align with SME judgment—making them unreliable.
In this webinar, learn how leading AI teams use Snorkel GenAI evaluation to accelerate the process by combining programmatic evaluation with SME-in-the-loop workflows, identify where and why failures occur within your business context, and establish reliability and trust through validation.
We’ll explain how to:
- Develop and validate LLM-as-judge evaluators that apply SME acceptance criteria at scale
- Uncover actionable insights by categorizing evaluation inputs and monitoring fine-grained metrics
- Streamline SME collaboration to ensure evaluators can be trusted by gathering ground truth and feedback
See how AI teams have successfully evolved from using manual evaluations requiring weeks of effort to programmatic evaluations developed and run within days—all while improving alignment with SME expectations by over 30%.
Join us for a live walk-through and Q&A to see how you can transform GenAI evaluation from a development blocker to a development enabler.
Speakers

Shane Johnson
Senior Director of Product Marketing
Snorkel AI

Ray Mi
Director of Pre-Sales Engineering
Snorkel AI