Learn how deep learning relates to machine learning and AI. In Azure Machine Learning, use deep learning models for fraud detection, object detection, and more.
Automated Machine Learning Train a model Work with foundation models Model Catalog Overview Data, privacy, and security for Model Catalog Open source models curated by Azure Machine Learning Hugging Face Hub community partner models How to deploy Phi-3 models ...
将模型从 HuggingFace 中心部署到 Azure 机器学习联机终结点以进行实时推理 - Azure Machine Learning 从Hugging Face Hub 部署基于 Transformers 的大型语言模型并对其进行评分。 通过模型目录使用模型的数据、隐私和安全性 - Azure Machine Learning 本文提供有关从模型目录部署模型时,如何处理、使用和存储你所提供...
Discover, finetune, evaluate and deploy foundation models at scale in Azure Machine Learning
Learn how using the Open Neural Network Exchange (ONNX) can help optimize inference of your machine learning models.
They have integrated AI algorithms and machine learning models into their platform to identify previously undetected risk areas, aiming to complete investigations up to 70 percent faster and with 70 percent less effort from human investigators. Their Sensa Copilot—built on the Azure in...
Microsoft is working to bring open source machine learning models into Azure applications and services.
In this learning series, we have covered some of the key concepts and techniques that can help government agencies to use generative AI responsibly and effectively, such as: Understanding the difference between generative AI and traditional AI or machine learning, and how they use data or content...
Azure 人工智能和机器学习服务,用于快速创建,训练、部署模型 (Azure's artificial intelligence and machine learning services empower developers and data scientists with a wide range of productive environments for building, training and deploying machine learning models faster.) ...
Learn how Azure Machine Learning uses machine learning operations (MLOps) to help manage the lifecycle of your models.