LogCDM detects log anomalies on CPU with an 8M-parameter model
It reports F1 of 0.984 on HDFS and scores a session in 5.5-10.5 ms without a GPU.
2 stories, newest first · one card per story
It reports F1 of 0.984 on HDFS and scores a session in 5.5-10.5 ms without a GPU.
Study finds LLM adaptation strategy, not scale alone, drives log-anomaly detection gaps, cost, and noise robustness.
Today 1.5K readers · 2.4K views · 757 reads · all time 189K views