Neptune.ai > 实例探究 > 与 Neptune 加强医疗保健人工智能系统中的实验跟踪和协作

与 Neptune 加强医疗保健人工智能系统中的实验跟踪和协作

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技术
  • 分析与建模 - 机器学习
  • 基础设施即服务 (IaaS) - 公共云
适用行业
  • 教育
  • 设备与机械
适用功能
  • 产品研发
  • 质量保证
用例
  • 实验自动化
  • 虚拟培训
服务
  • 系统集成
  • 培训
关于客户
Theta Tech AI 是一个由七名工程师组成的团队,为医疗保健企业构建人工智能系统。他们专注于开发通用的医疗人工智能系统,并处理各种医学和生物数据集。他们的目标是提高医院的临床效果和效率。
挑战
Theta Tech AI 团队在管理和分析机器学习模型的实验日志方面面临挑战。 AWS CloudWatch Logs 不足以满足他们的需求,导致难以跟踪指标、调试问题、与 Optuna 集成以及向客户传达结果。
解决方案
该团队选择海王星作为他们的实验跟踪解决方案。 Neptune 提供与 Optuna 的集成、实时支持、易于解释的可视化以及轻松的开发。它帮助跟踪 AWS 上的数千个训练作业,为 Optuna 提供交互式仪表板,并提供用于组织实验的分组和过滤功能。设置并与现有堆栈集成也很容易。
运营影响
  • The adoption of Neptune significantly improved Theta Tech AI's operational efficiency. The team could finally track and view only the metrics and files necessary for their research projects. Neptune removed the CloudWatch Logs barrier of leveraging external visualization tools like Grafana and provided secure and collaborative options. It also enforced experiment lineage, making it simple for the team to review earlier experiments, troubleshoot them, and reproduce their results. The Neptune-Optuna integrated dashboard gave them insights into how well the hyperparameters performed and offered all the information about the performance of each model. The team could share dashboards with coworkers and clients participating in the project, facilitating communication and cooperation. Neptune also improved how the team utilized compute resources for their training and data processing jobs.

数量效益
  • Neptune can scale to track all the jobs operating on different compute clusters when they ran thousands of training runs at scale on AWS.

  • Neptune provides relevant dashboards and an interactive user interface to monitor their training jobs and hardware utilization.

  • Neptune provides a wide range of integrations and support for open-source tools used in the industry, making it simple to set up and run using tools like fastai and Optuna.

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