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Fundamentals of ML observability
Metrics, feature importance and more
We’re excited ???? to share that Forbes has named Aporia a Next Billion-Dollar Company. This recognition comes on the heels of our recent $25 million Series A funding and is a huge testament that Aporia’s mission and the need for trust in AI are more relevant than ever. We are very proud to be listed […]
In models, one often has to make do with subpar labels before production. Once high-quality labels are available, it becomes possible to re-evaluate the model’s performance. This is the most conclusive metric for detecting model degradation. Unfortunately, in most use cases it can take weeks, months, or even years until high-quality labels are available. Waiting for high-quality labels for re-evaluation might result in late detection of issues after serious damage has already been done.
Learn more about how this can affect your model in production.
