Azure Machine Learning - ML as a Service | Microsoft Azure
Azure Machine Learning is a comprehensive machine learning platform that supports language model fine-tuning and deployment. Using the Azure Machine Learning model catalog, users can create an endpoint for Azure OpenAI Service and use RESI APIs to …
AI and Machine Learning - Azure Services | Microsoft Azure
Find AI and machine learning services for your needs and create the next generation of applications using Azure capabilities for any developer and scenario.
Azure Machine Learning - サービスとしての ML | Microsoft Azure
Azure Machine Learning は、言語モデルの微調整とデプロイをサポートする包括的な機械学習プラットフォームです。 Azure Machine Learning モデル カタログを使用すると、ユーザーは Azure OpenAI Service のエンドポイントを作成し、RESI API を使用してモデルを ...
Azure Machine Learning pricing
See pricing details and request a pricing quote for Azure Machine Learning, a cloud platform for building, training, and deploying machine learning models faster.
Announcing general availability of Azure Machine Learning …
Dec 4, 2018 · Azure Machine Learning service contains many advanced capabilities designed to simplify and accelerate the process of building, training, and deploying machine learning models. Automated machine learning enables data scientists of all skill levels to identify suitable algorithms and hyperparameters faster.
Step up your machine learning process with Azure Machine …
Apr 1, 2019 · With Azure Machine Learning Service, you can: Create multiple or common workspaces to collaborate easily across teams. Centralize management of all model artifacts.
New automated machine learning capabilities in Azure Machine …
Dec 4, 2018 · By making automated ML available through the Azure Machine Learning service, we’re empowering data scientists and organizations to build, deploy and manage the machine learning life cycle from end to end.
Azure AI Model Catalog – Foundation Models | Microsoft Azure
The catalog includes some of the most popular large language and vision foundation models curated by Microsoft, OpenAI, Hugging Face, Meta, Mistral AI, Cohere, Deci, Stability AI, Nixtla, and NVIDIA. These models are packaged for out-of-the-box usage and are optimized for use in Azure AI Studio.
Building recommender systems with Azure Machine Learning service
May 1, 2019 · Data scientists are unfamiliar with how to use Azure Machine Learning service to train, test, optimize, and deploy recommender algorithms. Finally, the recommender GitHub repository provides best practices for how to train, test, optimize, and deploy recommender models on Azure and Azure Machine Learning (Azure ML) service.
Azure AI Speech | Microsoft Azure - azure.microsoft.com
Customers are building interesting applications using Azure AI services. Get started with Speech analytics in Azure AI Studio for conversation AI, post-call analytics, video summarization, and more use cases.