PapersBuilders15:17Chinese contentLogCDM:用行为图漂移与自适应信号融合做可解释日志异常检测做日志监控的同学可以看看:8M 参数、CPU 上 10ms 内打分,F1 却逼近 8B 参数的 LLM 检测器。亮点是卡方散度视角给出逐边告警解释,适合部署在无法上 GPU 的监控节点上。#LogCDM#anomaly detection#log analysis#TransformeraarXiv cs.AI@Suryansh Talukdar et al. (3)SourceRead laterReadWorth followingUsefulFollow LogCDM
PapersBuilders10:47Chinese content协议选择如何影响日志异常检测基准结论做日志异常检测的可以看看,同一套检测器换个评估协议,HDFS 和 BGL 上的排名就能变,选模型前先想清楚测试集怎么切。#HDFS#BGL#XGBoost#anomaly detectionaarXiv cs.AI@Hang Xiao et al. (5)SourceRead laterReadWorth followingUsefulFollow HDFS
How-toBuilders73°05:48Chinese content微软论文:基于日志的编程助手提示优化微软论文教你用现有日志让编程助手写出更好提示,比传统调优工具更有效还省钱。#Microsoft#coding assistants#prompt engineering#log analysisrohanpaul_ai@rohanpaul_aiSourceRead laterReadWorth followingUsefulFollow Microsoft