Enabling ISVs to accelerate AI app development with Azure AI and GitHub
More than 60,000 organizations use Microsoft Azure AI today to explore the power of custom AI applications. The market is quickly moving from experimentation to scale, and more developers around the world are becoming AI developers. To support this shift, Microsoft is partnering with GitHub to empower developers to build AI applications directly from GitHub.com, with seamless integrations with Codespaces and Microsoft Visual Studio Code. This collaboration brings Azure AI’s leading model selection to developers through GitHub Models, along with simple APIs to empower responsible, production-ready AI applications.
Today, Azure offers the largest and most complete model library in the market, including the latest models from OpenAI, Meta, Mistral, and Cohere, as well as updates to its own Phi-3 family of small language models. GitHub Models allows developers to explore and utilize the latest models along with AI innovations and next-generation frontier models. This offering gives developers the flexibility to choose the best combination of unique capabilities, performance metrics, and cost efficiencies.
While continuous model innovation brings more choice, it also brings complexity when selecting the right model for the right scenario. Developers have a range of options for cloud vs. edge, general-purpose vs. task-specific, and more. Organizations often need multiple models to enable better quality, lower cost of goods sold, and to address complex use cases for each industry. GitHub Models simplifies model experimentation and selection across the best of the Azure AI catalog, allowing developers to quickly compare models, parameters, and prompts.
Azure AI aims to help customers rapidly go from idea to code to cloud by making Azure AI an open, modular platform. With Azure AI on GitHub, developers can utilize Codespaces to set up a prototype or use the Prompty extension to generate code with GitHub Models directly in Microsoft Visual Studio Code. In the coming months, Azure AI will expand its integration further, bringing Azure AI’s language, vision, and multi-modal services to GitHub, along with additional Azure AI toolchain elements.
Developers building with AI want to be confident their AI applications are trustworthy, safe, and secure. GitHub Models provides a strong foundation with built-in safety and security controls from Azure AI. Azure AI works with model providers and partners such as HiddenLayer to reduce emerging threats, from cybersecurity vulnerabilities to malware and other signs of tampering. GitHub Models integrates Azure AI Content Safety for top foundation models, enabling built-in, real-time protection for risks such as the generation of harmful content, copyright materials, hallucination, and new AI-specific attacks.
Increased model selection gives developers the broadest range of options for their applications, but each model brings increased complexity. To counteract this, Azure AI provides a single API for model inference, allowing developers to compare performance across a diverse set of foundational models in a uniform and consistent way. The Azure AI Inference SDK provides client libraries in Python and JavaScript, with support for C# and .NET coming soon. This SDK simplifies common tasks related to authentication, security, and retries in the developer’s programming language of choice.
Beyond these new integrations, Microsoft is making it easier for organizations to access GitHub Enterprise through Azure, combining GitHub’s cloud-native platform with Azure’s robust enterprise-grade security and scalability. Organizations with an existing Azure subscription can purchase GitHub products via self-service, directly through Microsoft Sales, or via Microsoft Cloud Solution Providers. Companies can now spin up a GitHub instance directly from the Azure Portal and connect their Microsoft Entra ID with GitHub to facilitate user management and access control. New customers can explore these capabilities with a free 30-day trial of GitHub Enterprise.
To learn more, check out this new blog: Accelerating AI app development with Azure AI and GitHub | Microsoft Azure Blog
More than 60,000 organizations use Microsoft Azure AI today to explore the power of custom AI applications. The market is quickly moving from experimentation to scale, and more developers around the world are becoming AI developers. To support this shift, Microsoft is partnering with GitHub to empower developers to build AI applications directly from GitHub.com, with seamless integrations with Codespaces and Microsoft Visual Studio Code. This collaboration brings Azure AI’s leading model selection to developers through GitHub Models, along with simple APIs to empower responsible, production-ready AI applications.
Today, Azure offers the largest and most complete model library in the market, including the latest models from OpenAI, Meta, Mistral, and Cohere, as well as updates to its own Phi-3 family of small language models. GitHub Models allows developers to explore and utilize the latest models along with AI innovations and next-generation frontier models. This offering gives developers the flexibility to choose the best combination of unique capabilities, performance metrics, and cost efficiencies.
While continuous model innovation brings more choice, it also brings complexity when selecting the right model for the right scenario. Developers have a range of options for cloud vs. edge, general-purpose vs. task-specific, and more. Organizations often need multiple models to enable better quality, lower cost of goods sold, and to address complex use cases for each industry. GitHub Models simplifies model experimentation and selection across the best of the Azure AI catalog, allowing developers to quickly compare models, parameters, and prompts.
Azure AI aims to help customers rapidly go from idea to code to cloud by making Azure AI an open, modular platform. With Azure AI on GitHub, developers can utilize Codespaces to set up a prototype or use the Prompty extension to generate code with GitHub Models directly in Microsoft Visual Studio Code. In the coming months, Azure AI will expand its integration further, bringing Azure AI’s language, vision, and multi-modal services to GitHub, along with additional Azure AI toolchain elements.
Developers building with AI want to be confident their AI applications are trustworthy, safe, and secure. GitHub Models provides a strong foundation with built-in safety and security controls from Azure AI. Azure AI works with model providers and partners such as HiddenLayer to reduce emerging threats, from cybersecurity vulnerabilities to malware and other signs of tampering. GitHub Models integrates Azure AI Content Safety for top foundation models, enabling built-in, real-time protection for risks such as the generation of harmful content, copyright materials, hallucination, and new AI-specific attacks.
Increased model selection gives developers the broadest range of options for their applications, but each model brings increased complexity. To counteract this, Azure AI provides a single API for model inference, allowing developers to compare performance across a diverse set of foundational models in a uniform and consistent way. The Azure AI Inference SDK provides client libraries in Python and JavaScript, with support for C# and .NET coming soon. This SDK simplifies common tasks related to authentication, security, and retries in the developer’s programming language of choice.
Beyond these new integrations, Microsoft is making it easier for organizations to access GitHub Enterprise through Azure, combining GitHub’s cloud-native platform with Azure’s robust enterprise-grade security and scalability. Organizations with an existing Azure subscription can purchase GitHub products via self-service, directly through Microsoft Sales, or via Microsoft Cloud Solution Providers. Companies can now spin up a GitHub instance directly from the Azure Portal and connect their Microsoft Entra ID with GitHub to facilitate user management and access control. New customers can explore these capabilities with a free 30-day trial of GitHub Enterprise.
To learn more, check out this new blog: Accelerating AI app development with Azure AI and GitHub | Microsoft Azure Blog Read More
