使用 Neptune 提高工作流程效率和可重复性：Brainly 案例研究
技术
- 分析与建模 - 机器学习
- 基础设施即服务 (IaaS) - 云中间件与微服务
适用行业
- 教育
- 设备与机械
用例
- 行为与情绪追踪
- 虚拟培训
服务
- 系统集成
- 培训
关于客户
Brainly 是全球领先的学习平台，超过 3.5 亿学生、家长和教育工作者依靠它来理解和学习。视觉搜索团队专注于 Snap to Solve 产品的视觉内容提取 (VICE) 系统，该系统使用机器学习来检测上传照片中的问题并提供解决方案。
挑战
Brainly 的视觉搜索团队需要一种工具来跟踪和管理 Amazon SageMaker 的日志，以避免工作流程中出现瓶颈。他们还想要一个专门构建的工具，无论实验量如何，都可以扩展。
解决方案
该团队将 Neptune 与其技术堆栈和 CD 管道集成。他们开发了一个自定义模板，使用 NEPTUNE_CUSTOM_RUN_ID 功能将 Neptune 与 Amazon SageMaker Pipelines 连接。这使他们能够在一次运行中记录和检索整个计算管道的实验元数据和使用指标。
运营影响
数量效益
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