Microsoft is empowering developers to go AI developers, bringing Azure AI manufacture starring models to the planetary GitHub assemblage of much than 100 million

More than 60,000 organizations usage Microsoft Azure AI contiguous to research the powerfulness of customized AI applications. However, the marketplace is rapidly moving from experimentation to scale, and we spot much developers astir the satellite becoming AI developers. With this earthy evolution, the needs of developers and their requirements to entree and physique with AI models and tools are transforming arsenic well.

To enactment this displacement to scale, we are excited to partner with GitHub to empower their much than 100 cardinal developers to physique AI applications straight from GitHub.com with seamless integrations with Codespaces and Microsoft Visual Studio Code. Our collaboration starts contiguous arsenic we bring Azure AI’s starring exemplary enactment to developers through GitHub Models, along with elemental APIs to empower responsible, production-ready AI applications.

For much insights into however GitHub Models tin assistance you summation experimentation and accelerate your improvement cycles, each successful GitHub, please read the blog from GitHub CEO Thomas Dohmke.

Simplifying AI development 

As AI exemplary innovation accelerates, Azure remains committed to delivering the starring exemplary enactment and top exemplary diverseness to conscionable the unsocial cost, latency, design, and information needs of AI developers. Today, we connection the largest and astir implicit exemplary room successful the market, including the latest models from OpenAI, Meta, Mistral and Cohere and updates to our ain Phi-3 household of tiny connection models. With GitHub Models, developers tin present research and utilize the latest models on with AI innovations and next-generation frontier models. This offering gives each developer the flexibility to take the champion operation of unsocial capabilities, show metrics, and outgo efficiencies.

While continuous exemplary innovation brings much choice, it besides brings complexity erstwhile selecting the close exemplary for the close scenario. Today, developers person a scope of options for unreality vs. edge, general-purpose vs. task specific, and more. On apical of that, organizations often request aggregate models to alteration amended quality, little outgo of goods sold, and to code analyzable usage cases for each industry. GitHub Models opens the doorway for developers to experimentation with aggregate models, simplifying exemplary experimentation and enactment crossed the champion of the Azure AI catalog, rapidly comparing models, parameters, and prompts.

By making Azure AI an open, modular platform, we purpose to assistance our customers rapidly spell from thought to codification to cloud. With Azure AI connected GitHub, developers tin bash conscionable that by utilizing Codespaces to acceptable up a prototype oregon usage the Prompty extension to make codification with GitHub Models straight successful Microsoft Visual Studio Code.

In the coming months, we volition grow our integration adjacent further, bringing Azure AI’s language, vision, and multi-modal services to GitHub, on with further Azure AI toolchain elements, further streamlining the AI exertion improvement process.

Integrating information by default 

Developers gathering with AI privation to beryllium assured their AI applications are trustworthy, safe, and secure. GitHub Models gives developers a beardown instauration from the commencement with built-in information and information controls from Azure AI.

Azure AI works with exemplary providers and different partners specified arsenic HiddenLayer to trim emerging threats, from cybersecurity vulnerabilities, to malware, and different signs of tampering. And we person taken this further successful GitHub Models by integrating Azure AI Content Safety for apical instauration models including Azure OpenAI Service, Llama, and Mistral. Azure AI Content Safety enables built-in, existent clip extortion for risks specified arsenic the procreation of harmful content, copyright materials, hallucination, and caller AI circumstantial attacks specified arsenic jailbreaks and punctual injection attacks.

If developers privation to spell deeper, they tin customize these controls successful Azure AI, utilizing evaluations to trial and show their applications for ongoing prime and safety.

AI simplicity with a azygous API

Increased exemplary enactment gives developers the broadest scope of options for the idiosyncratic applications they are building. But each exemplary people brings with it accrued complexity. To counteract this, we’re making it incredibly casual for each developer to experimentation with a scope of models done the Azure AI exemplary inference API. Using this azygous API, GitHub developers tin present entree a communal acceptable of capabilities to comparison show crossed a divers acceptable of foundational models successful a azygous and accordant way, easy switching betwixt models to comparison show without changing the underlying code.

The Azure AI Inference SDK provides lawsuit libraries successful Python and JavaScript with enactment for C# and .NET coming soon. This SDK makes it casual to integrate AI into your applications by simplifying communal tasks related to authentication, information and retries successful your programming connection of choice. You tin get started contiguous with Python and JavaScript samples.

Streamlining GitHub Enterprise entree done Microsoft Azure 

Beyond these caller integrations, we are besides making it easier than ever for organizations to entree GitHub Enterprise done Azure, combining GitHub’s cloud-native level with Azure’s robust enterprise-grade information and scalability.

Organizations with an existing Azure subscription tin acquisition GitHub products via self-service, straight done Microsoft Sales oregon via Microsoft Cloud Solution Providers and tin set the fig of GitHub seats arsenic needed to guarantee businesslike usage. Additionally, eligible organizations whitethorn instrumentality vantage of the Microsoft Azure Consumption Commitment (MACC) and Azure Commitment Discount (ACD). 

Companies tin present spin-up a GitHub lawsuit straight from the Azure Portal and link their Microsoft Entra ID with GitHub to facilitate idiosyncratic absorption and entree control. With an Azure subscription, you person each the indispensable tools for creating an intelligent AI application, including entree to GitHub’s implicit scope of services similar repositories, Actions, Advanced Security, and Copilot. This makes it incredibly elemental and businesslike to springiness developers everything they request to physique and deploy AI applications astatine scale.

We invitation you to acquisition the powerfulness of this integrated end-to-end improvement experience. New customers tin research these capabilities with a free 30-day proceedings of GitHub Enterprise. 

We can’t hold to spot what you volition physique with GitHub and Azure. 

• Learn much astir GitHub Models Launch. 
• Explore and experimentation with Azure AI models successful GitHub. 
• Get deeper method details connected GitHub Models. 
• Use GitHub Codespaces to setup a prototype from your repo. 
• Learn much astir the free 30-day proceedings of GitHub Enterprise. 

The station Accelerating AI app improvement with Azure AI and GitHub appeared archetypal connected Microsoft Azure Blog.