You can use this to filter out content you deem inappropriate. Sara Bird showed off the Azure AI Content Safety Service that reviews input data and provides ratings based on categories of violence, self-harm, sexual, and hate speech. It will enable you to input your own model data and control each step's input, output, and validation. Seth Juarez gave a demonstration of Prompt Flow - a tool that allows you to develop end-to-end AI systems using large language models. You can use natural language (such as English) to ask Copilot to explain, write, or improve code or to write unit tests. GitHub Copilot has been around for a few years, but Scott Guthrie and Thomas Dohmke announced the private preview of Copilot X that adds a chat prompt to Visual Studio Code, allowing you to interact with AI using text. This technology adds a prompt to the Windows taskbar, allowing you to use AI to enhance many of your running applications. The team devoted much of the keynote to improvements in these.Įach Copilot technology will have a consistent orchestration model, making it easier to do things like build plug-ins for multiple Copilot services These products provide a conversational interface to assist with common tasks within the application. Microsoft has released and announced several products under the name "Copilot." Each product uses artificial intelligence to enhance a technology stack, such as GitHub, Teams, or Dynamics. He and others dove deeper into each of them throughout the keynote. He did not say so but suggested that these were the most significant announcements. Satya began by revealing that Microsoft has 50 new announcements this week, and he would discuss five of them now. Here are the things that stood out to me during this 2+ hour presentation. The Day 1 keynote focused almost exclusively on Artificial Intelligence (AI) products, services, and innovations from Microsoft. I do not recall any Microsoft Build keynote that focused so much on a single topic as I saw this year.
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