AI debugging at Meta with HawkEye

What this post added

This post introduces HawkEye, a toolkit for monitoring, observability, and debuggability of end-to-end machine learning workflows at Meta. HawkEye streamlines debugging by providing guided exploration, root cause analysis for AI model and feature issues, and has facilitated order of magnitude improvements in debugging time. It supports workflows for isolating top-line product issues to model snapshots, prediction anomalies to features, upstream causes of feature issues, diagnosing model snapshots, and diagnosing training data issues.