Webinar: Building LLM Evals You Can Actually Trust

Development teams building with generative AI face a critical challenge: how do you consistently measure quality and iterate with confidence? The answer lies in well-crafted evaluation suites. Join our upcoming webinar and learn how to build metrics that accurately reflect your use cases and business priorities through specific, comprehensive and precise evaluations.

What You'll Learn:

Techniques for building targeted evals that catch specific issues
How to review production data to uncover problems
Ask us about AI product development best practices
Step-by-step testing/tuning cycle to improve both features and evals
How to gather human-labeled ground truth data and use it to build fine-tuned evaluator models

Event Details:

Weds April 23 at 11am MT (1pm ET, 9am PT)

You'll Hear From:

Jeremy Silva, Product Lead

Jeremy Silva, Product Lead

Morgan Cox, Forward Deployed AI Engineer

Morgan Cox, Forward Deployed AI Engineer

Register to attend or watch later!

AI teams ship faster with Freeplay

AI teams ship faster with Freeplay

"At Maze, we've learned great customer experiences come through intentional testing & iteration. Freeplay is building the tools companies like ours need to nail the details with AI."

Jonathan Widawski

CEO & Co-Founder at Maze

"The time we’re saving right now from using Freeplay is invaluable. It’s the first time in a long time we’ve released an LLM feature a month ahead of time."

Luis Morales

VP of Engineering at Help Scout

"When we started using LLMs, we immediately realized testing is hard. What Freeplay is doing will give teams the confidence they need to ship faster & improve over time."

Jake Adams

Co-founder of Grain

"We wanted to give our designers the freedom to experiment with prompts, but couldn't find good tools. Freeplay will make it easier to get anyone involved in prompt engineering. "

Koen Bok

CEO of Framer

AI teams ship faster with Freeplay