[r/ML] [P] I trained a Mamba-3 log anomaly detector that hit 0.9975 F1 on HDFS — and I’m curious how far this can go

Summary

A developer successfully trained a Mamba-3 based log anomaly detector that achieved an F1 score of 0.9975 on the HDFS benchmark. This performance slightly surpasses existing state-of-the-art methods like LogAI and LogRobust. The project was developed rapidly, demonstrating the potential for highly effective and efficient anomaly detection in system logs.

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