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Generative AI in Azure Machine Learning

Streamline prompt engineering projects and build language model–based applications.
Overview

Build generative AI apps

  • Access pretrained foundation models from Microsoft, OpenAI Service, Hugging Face, Meta, Cohere and more in the unified model catalog.
  • Develop faster using language models to evaluate prompt variants and access LangChain and Semantic Kernel libraries.
  • Train models on purpose-built Azure AI infrastructure with GPU virtual machines and InfiniBand networking.
  • Automate AI workflows to continuously monitor and evaluate language model performance and detect harmful content.
Models customized for you

Incorporate generative AI into your apps

Foundation model catalog

Explore a collection of open-source foundation models and fine-tune them using your own data.
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Security

Embedded security and compliance

34,000
Full-time equivalent engineers dedicated to security initiatives at Microsoft.
15,000
Partners with specialized security expertise.
 
>100
Compliance certifications, including over 50 specific to global regions and countries.

FAQ

  • There's no additional charge to use generative AI tools in Azure Machine Learning. You’ll incur separate charges for compute and for other Azure services such as Azure Blob Storage, Azure Key Vault, Azure Container Registry, and Azure Application Insights when used with Azure Machine Learning. See Azure Machine Learning pricing.

  • Sign up for a free account or, if you already have an Azure subscription, get started in the Azure Machine Learning studio portal.

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