Microsoft launches GenAI Accelerator with NVIDIA and GitHub to boost UK AI start-ups

Microsoft launches GenAI Accelerator with NVIDIA and GitHub to boost UK AI start-ups

Microsoft has launched the GenAI Accelerator initiative to develop the UK’s brightest and best AI-focused start-ups and springboard them to future success. In partnership with tech leader NVIDIA and Microsoft-owned developer platform… Article Source https://ukstories.microsoft.com/features/microsoft-launches-genai-accelerator-with-nvidia-and-github-to-boost-uk-ai-start-ups/

GitHub Copilot will support models from Anthropic, Google, and OpenAI

GitHub Copilot will support models from Anthropic, Google, and OpenAI

GitHub is going multi-model for its Copilot code completion and programming tool. Developers will soon be able to choose models from Anthropic, Google, and OpenAI for GitHub Copilot. GitHub is also announcing Spark, an AI tool for building web… Article Source https://www.theverge.com/2024/10/29/24282544/github-copilot-multi-model-anthropic-google-open-ai-github-spark-announcement

Microsoft’s GitHub expands beyond OpenAI, lets developers use AI models from Anthropic, Google

Microsoft’s GitHub expands beyond OpenAI, lets developers use AI models from Anthropic, Google

GitHub CEO Thomas Dohmke speaks at the Collision conference in Toronto on June 27, 2023. Chloe Ellingson | Bloomberg | Getty Images Microsoft has a very expensive and very public relationship with artificial intelligence startup OpenAI. But one of… Article Source https://www.cnbc.com/2024/10/29/microsoft-github-copilot-goes-past-openai-opens-to-anthropic-google.html

Accelerating AI app development with Azure AI and GitHub | Microsoft Azure Blog

Accelerating AI app development with Azure AI and GitHub | Microsoft Azure Blog

We are excited to partner with GitHub to empower their more than 100 million developers to build AI applications directly from GitHub.com with seamless integrations with Codespaces and Microsoft Visual Studio Code. Microsoft is… Article Source https://azure.microsoft.com/en-us/blog/accelerating-ai-app-development-with-azure-ai-and-github/

GitHub scales on demand with Azure Functions | Microsoft Azure Blog

GitHub scales on demand with Azure Functions | Microsoft Azure Blog

Flex Consumption delivers fast and large scale-out features on a serverless model and supports long function execution times, private networking, instance size selection, and concurrency control. GitHub is the home of the world’s… Article Source https://azure.microsoft.com/en-us/blog/github-scales-on-demand-with-azure-functions/

Introducing GraphRAG: A cutting-edge tool for uncovering complex data, now available on GitHub

Introducing GraphRAG: A cutting-edge tool for uncovering complex data, now available on GitHub

Earlier this year, RAGGraphic, a graph-based approach to Recall Augmented Generation (RAG) was introduced to answer questions about private or never-before-seen datasets. GraphRAG is now available on GitHub and offers more structured information retrieval and richer response generation than traditional RAG methods. The repository is accompanied by a solutions accelerator for easy deployment on Azure … Read more

New GitHub CEO vows to protect Atom following Microsoft acquisition

New GitHub CEO vows to protect Atom following Microsoft acquisition

tech industry is also concerned about how the acquisition will affect the open-source nature of GitHub, as Microsoft has had a complicated history with the concept of open source in the past. Some fear that Microsoft will start charging for GitHub services that were once free, or that they may prioritize Windows development over other … Read more

Optimizing Performance: Managing Self-Hosted GitHub Action Runners at Scale with AWS on Amazon Web Services

Optimizing Performance: Managing Self-Hosted GitHub Action Runners at Scale with AWS on Amazon Web Services

GitHub Actions is a platform for continuous integration and continuous deployment that automates build, test, and deployment activities. Using GitHub Self-Hosted Runners on AWS allows for more control over the environment in which code is built, reducing security risks and costs. Best practices include understanding security responsibilities, using short-lived AWS credentials, configuring ephemeral runners, isolating … Read more