Over the last couple of months, our customer conversations on AI experimentation have increased dramatically (as you may have guessed), so we decided the time is now to dive deep into how experimentation can only benefit the development of AI features.
Enjoy this on-demand viewing and we hope you can join us live in the future!
Got AI on the brain? Statsig can help you run experiments with AI apps, using our recent launch of Statbot. During this Learning Lab we'll teach you how to record important model inputs and outputs, such as prompt, model choices, cost, and latency.
Additionally, we'll provide some tips on how to measure your application's performance and interpret the results to make data-driven decisions.
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Learn the takeaways from Ron Kohavi's presentation at Significance Summit wherein he discussed the challenges of experimentation and how to overcome them. Read More ⇾
Learn how the iconic t-test adapts to real-world A/B testing challenges and discover when alternatives might deliver better results for your experiments. Read More ⇾
See how we’re making support faster, smarter, and more personal for every user by automating what we can, and leveraging real, human help from our engineers. Read More ⇾
Marketing platforms offer basic A/B testing, but their analysis tools fall short. Here's how Statsig helps you bridge the gap and unlock deeper insights. Read More ⇾