基于GLM5.1构建
基于大模型Agent的器件故障预测自动化优化系统，实现从数据分析、模型构建、参数调优、性能评估到经验沉淀的闭环智能优化。通过多智能体协同机制，实现故障预测模型的自动生成、自动调优和持续演进，支持内存、硬盘、光放大器等多类型器件故障预测场景。
基于 Agent 的器件故障预测与自动调优
database R benchmark
Contributions last year: 488
Max continuous contributions: 20
Recent contributions: 1
Commits, issues, and pull requests will appear on your contribution graph. Only when the email address used for the commits in local configuration is associated with your GitOSC account, the commits' contribution will be counted.
