Generative AI in Azure Machine Learning

Overview

Build generative AI apps

Access pretrained foundation models from Microsoft, OpenAI Service, Hugging Face, Meta, Cohere and more in the unified model catalog.

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Develop faster using language models to evaluate prompt variants and access LangChain and Semantic Kernel libraries.

Learn about prompt flow
Train models on purpose-built Azure AI infrastructure with GPU virtual machines and InfiniBand networking.

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Automate AI workflows to continuously monitor and evaluate language model performance and detect harmful content.

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

Connect your own data, call functions, and improve workflow with language and image models.

Streamline development and deployment of machine learning models.

Develop, use, and govern AI solutions responsibly with Azure AI.

Deliver high performance for AI workloads with infrastructure optimized for Azure Machine Learning.

RESOURCES

Try Meta Llama 2 foundation model

Learn how to explore the Llama 2 family and use it with Azure Machine Learning prompt flow.

Get started with prompt flow

Dive into the world of prompt engineering and orchestration with prompt flow in Azure Machine Learning.

Explore Azure AI Content Safety

Learn how to create safer online communities with multimodal content filtering AI integrated natively in Azure Machine Learning.

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.