Plug-ins extend copilots, giving them access to third-party data and other services. The next step is giving the copilot a “meta-prompt,” or a base description of the copilot’s role and how it should function.Ĭloud-based storage can be added to AI copilots created with Azure AI Studio for the purposes of keeping track of a conversation with a user and responding with the appropriate context and awareness. ![]() In Azure AI Studio, the copilot-building process starts with selecting a generative AI model like GPT-4. “It’s a tremendous accelerant for our customers to be able to build their own copilots.” “In our Azure AI Studio, we’re making it easy for developers to ground Azure OpenAI Service models on their data … and do that securely without seeing that data or having to train a model on the data.” John Montgomery, Microsoft’s CVP of AI platform, told TechCrunch via email. But its AI-powered copilots can’t necessarily draw on a company’s proprietary data to perform tasks - unlike copilots created through Azure AI Studio. The company has created several such apps, such as Bing Chat. Microsoft defines a “copilot” as a chatbot app that uses AI, typically text-generating or image-generating AI, to assist with tasks like writing a sales pitch or generating images for a presentation. (Recall that Azure OpenAI Service is Microsoft’s fully managed, enterprise-focused product designed to give businesses access to AI lab OpenAI’s technologies with added governance features.) Today at its annual Build conference, Microsoft launched Azure AI Studio, a new capability within the Azure OpenAI Service that lets customers combine a model like OpenAI’s ChatGPT or GPT-4 with their own data - whether text or images - and build a chat assistant or another type of app that “reasons over” the private data. In other words, everything I use to generate images also works in the browser.Microsoft wants companies to build their own AI-powered “copilots” - using tools on Azure and machine learning models from its close partner OpenAI, of course. This package provides us a Node.js based implementation of the Canvas API that we know and love in the browser. The banner is a PNG image, and to keep the post focused on the subject (“how to create and save an image with Node.js and Canvas”) I’ll skip some parts.Īlso, there are many different ways of doing what I did, here’s just one way.įirst of all, what npm packages do we need? So after stumbling upon a nice inspiration for a banner image, I decided to make a custom banner for each of my blog posts. I’ve had this thought of programmatically generating them since I saw Indie Hackers generating those images for forum blog posts (a great idea): ![]() There’s no way I can make like 500 banner images at hand. There’s a problem: I stopped making those custom banner images a long time ago, and most of my posts don’t have a banner. If a post has no image, I show my avatar instead: ![]() I set up Hugo so it uses an image named banner.png or banner.jpg stored in the post folder to be used as the Open Graph image, like this: I share my blog posts on Twitter, and there’s been a time when I entertained myself drawing drawing an image for each blog post. ![]() A story of how I improved my Twitter cards
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