Hello, I'm Maneshwar. I'm building git-lrc, a Micro AI code reviewer that runs on every commit. It is free and source-available on Github. Star git-lrc to help devs discover the project. Do give it a try and share your feedback.
Anomaly detection is one of those problems that just refuses to be "solved."
Every time a shiny new ML paradigm shows up (deep learning, GNNs, self-supervised learning), someone immediately points it at anomaly detection to see if this is the thing that finally cracks it.
LLMs are no exception. And some of the patterns emerging are pretty clever.
Quick mental model before we dive in. A classic anomaly detection workflow looks like this:
