We’re thrilled to partner with GitHub, enabling its over 100 million developers to build AI capabilities directly from GitHub.com through seamless integrations with Codespaces and Microsoft Visual Studio Code.
More than 60,000 organisations leverage AI’s potential to instantly unlock customised functionality. As the market transitions from experimentation to scalability, we’re witnessing a surge in the number of global builders transforming into AI developers. As AI-driven innovations evolve, the requirements of builders and their needs to access and utilize artificial intelligence models and tools are transforming accordingly.
To facilitate a seamless transition to scaling, we’re thrilled to empower over 100 million developers by enabling them to build AI capabilities directly from GitHub, accompanied by effortless integrations with Microsoft’s Codespaces and Visual Studio Code. As our partnership commences, we seamlessly integrate with ‘s core model selection to provide builders with intuitive APIs, empowering the creation of reliable and production-ready AI capabilities.
Gain deeper insights on how GitHub Fashion’s capabilities can accelerate experimentation and streamline growth cycles within a single platform – straight from GitHub CEO Thomas Dohmke.
Simplifying AI growth
As artificial intelligence innovation accelerates, Microsoft Azure remains committed to offering the broadest model selection and largest model range to meet the unique needs of AI developers for value, latency, design, and security. Currently, we offer the broadest and most comprehensive mannequin library on the market, featuring the latest advancements from OpenAI, Meta, Mistral, and Cohere, as well as updates to our own proprietary Phi-3 family of small language models. GitHub Fashion’s innovative platform empowers developers to leverage the latest styles, augmented by AI-driven enhancements and cutting-edge frontier technologies. This flexibility enables developers to craft a unique blend of capabilities, optimize performance metrics, and balance cost efficiencies.
While advancements in mannequin innovation offer increased flexibility, they also introduce complexity in selecting the most suitable model for a given situation. At present, construction companies enjoy a wide range of options when deciding between cloud-based and edge, general-purpose vs. activity particular, and extra. Organizations often seek various product designs to achieve higher quality at lower costs, address complex usage scenarios, and cater to diverse customer needs. GitHub Fashion Studio enables developers to effortlessly explore a vast array of models, streamlining model experimentation and selection across the pinnacle of the Azure AI catalogue by rapidly evaluating models, parameters, and prompts.
By opening up Azure AI as a modular platform, we aim to empower our customers to rapidly move from idea to implementation and into the cloud. With Azure AI on GitHub, developers can seamlessly integrate their creative vision into reality by leveraging Codespaces to craft a prototype or tapping into GitHub Copilot’s capabilities to instantly generate code within Microsoft Visual Studio Code.
In the coming months, we will significantly enhance our integration by bringing Azure AI’s cutting-edge capabilities in natural language processing, computer vision, and multimodal intelligence to GitHub, further streamlining the AI software development process with more Azure AI toolchain components.
Integrating security by default
As builders integrate artificial intelligence into their construction processes, they crave assurance that AI systems will operate reliably, safeguarded against vulnerabilities, and secure from potential threats. GitHub Fashions delivers a solid foundation for developers from the outset, integrating security and safety features powered by Azure AI.
Azure AI collaborates with mannequin providers and other partners to mitigate escalating threats, encompassing cybersecurity vulnerabilities, malware, and other signs of manipulation.
By incorporating our latest models – GitHub Fashions, high-basis fashions, Llama, and Mistral – we’ve further enhanced their capabilities. Azure AI Content material Security provides real-time, integrated protection against threats such as malicious content, copyright infringement, hallucinations, and novel AI-specific attacks like jailbreaks and direct injection exploits?
If builders desire to drill down further, they will customize these controls within Azure AI, leveraging evaluations to validate and monitor their performance continuously, ensuring ongoing quality and security.
What’s the simplest way to integrate AI into your app? With a single API, you get instant access to powerful language processing and machine learning capabilities.
The wide range of elevated mannequins available to builders offers unparalleled flexibility in selecting the perfect model for their specific needs and purposes. While mannequins undoubtedly introduce increased intricacy by their very nature. To mitigate this challenge, we’re simplifying the process for individual developers to explore different styles through our platform’s intuitive interface. With this singular API, GitHub developers can seamlessly access a comprehensive suite of capabilities, allowing them to effortlessly evaluate performance across diverse foundational models using a consistent and uniform approach, effortlessly shifting between models without modifying the underlying code.
The platform offers shoppers libraries in Europe and the Americas with support for C# and .NET imminent. This Software Development Kit (SDK) streamlines the integration of artificial intelligence into your applications by automating routine tasks such as authentication, security, and retries across various programming languages. You’ll get started immediately with these two samples.
Microsoft and GitHub have joined forces to provide a seamless integration between their platforms. With this new collaboration, organizations can easily migrate their GitHub Enterprise to the cloud using Microsoft Azure. This streamlined process enables businesses to benefit from the scalability, reliability, and cost-effectiveness of the cloud while maintaining control over their code repositories. By leveraging Azure’s infrastructure-as-a-code capabilities, teams can efficiently manage their GitHub Enterprise instances, ensuring a smooth transition with minimal disruption to their workflows.
As part of this development, we’re now simplifying the process for companies to access GitHub Enterprise via Azure, seamlessly integrating GitHub’s cloud-based platform with Azure’s robust security and scalability features.
Organizations already possessing an active Azure subscription have seamless access to purchase GitHub merchandise through self-service, or directly through Microsoft Sales, or with the assistance of Microsoft Cloud Solution Providers, allowing for flexible seat management to optimize usage efficiently. What’s more, organizations meeting eligibility criteria can leverage Microsoft Azure’s Consumption-Based Commitment (MACC) and Azure Dedicated Low Cost (ACD) to realize potential savings.
With Microsoft’s integration, corporations can swiftly create a GitHub instance and link it seamlessly with their existing Microsoft Entra ID, streamlining user administration and access management. With an Azure subscription, you have access to the necessary tools for building intelligent AI software, including comprehensive access to GitHub’s suite of services, such as repositories, Actions, Advanced Security, and Copilot. Building scalable AI functionality has never been more effortless and eco-friendly for construction teams with our comprehensive package providing everything needed to get started.
We invite you to explore the capabilities of our comprehensive, end-to-end growth expertise. New clients can explore our comprehensive suite of services by visiting our website.
We’re thrilled to see what you’ll build with GitHub and Azure.
