Using the responsible AI dashboard, evaluate with reproducible and automated workflows to assess model fairness, causal analysis, exploratory data analysis, and more.
對 Microsoft 而言,這些準則是以負責任且值得信賴的方式處理 AI 的基石,尤其是智慧型技術會隨著人們每天使用的產品與服務而變得越來越普及。 本文示範 Azure Machine Learning 如何為工具提供支援,讓開發人員和資料科學家能夠實作及操作這六大準則。 公平性和包容性 AI 系統應公平地對待每個人,避免以不同的方式影響...
Azure 机器学习中的可靠性和安全性:负责任 AI 仪表板的错误分析组件使数据科学家和开发人员能够: 深入了解模型的失败分布形式。 识别错误率高于整体基准的数据队列(子集)。 当系统或模型对训练数据中的特定人口群体或不经常观察到的输入条件表现不佳时,可能会出现这些差异。
Using the responsible AI dashboard, evaluate with reproducible and automated workflows to assess model fairness, causal analysis, exploratory data analysis, and more.
Learn what Responsible AI is and how to use it with Azure Machine Learning to understand models, protect data, and control the model lifecycle.
Reliability and safety in Azure Machine Learning: Theerror analysiscomponent of theResponsible AI dashboardenables data scientists and developers to: Get a deep understanding of how failure is distributed for a model. Identify cohorts (subsets) of data with a higher error rate than the overall benc...
Hello everyone, I would be very grateful if you would tell me what am I doing wrong (as this works in Azure AI Studio) but not on Azure Machine Learning? The format is correct and everything seems fine to me. What am I missing? Thank you in advance! … ...
Azure AI 是微软提供的一系列人工智能服务,旨在帮助开发者和企业构建智能应用程序。 产品主页: https://azure.microsoft.com/products/ai-services/ Azure AI 目前接入并提供如下的产品服务: Azure Machine Learning 允许用户在云端和边缘构建、训练和部署机器学习模型。
The Python Risk Identification Tool for generative AI (PyRIT) is an open access automation framework to empower security professionals and machine learning engineers to proactively find risks in their generative AI systems. - Azure/PyRIT
这项原本用于 GitHub Copilot 等微软服务的 功能,将内置于 Azure OpenAI 企业版服务开放给第三方开发者, 从而以负责任的方式生成智能内容; 3)Azure Machine Learning 工具,其中包括 Responsible AI dashboard support for text and image data,该功能能够让开发者在构 建、训练或评估模型阶段,评估使用非结构化数据...