Build a Virtual Assistant with Azure Open AI and Azure Speech Service
This post shows you how to create an extremely powerful virtual assistant with Azure OpenAI and Azure Speech Services for all languages. It is just a static web application without running any server and everything done with client side JavaScript. Azure OpenAI Service provides developers with API calls to make a virtual assistant that uses Azure AI and speech services. Students can use it to get course-related answers. You can try the Live2D Azure OpenAI chatbot by creating an Azure subscription and configuring it.Build an AI Powered Image App – Microsoft Learn Challenge
A new Microsoft Learn challenge module just dropped and it’s a perfect bite-sized project to get a taste for the latest AI technology and how you can start using it in fun and fast ways. In this module, Challenge project - Add image analysis and generation capabilities to your application, you will combine different AI image technology while deploying it to a web app, resulting in a great demo project to show off your skills in an image analysing and image generating app.
Maximizing Your Academic Potential with Azure OpenAI Services ChatGPT Virtual Assistant
With Azure Open AI Virtual Assistant, schools can easily track how students are utilizing AI to enhance their learning and problem-solving skills. This serverless solution utilizes a wide range of Azure services, providing a cost-effective option for schools to enhance their teaching experience. Don't wait any longer to experience the future of education - try Azure Open AI Virtual Assistant today!Deploying GPT-4o AI Chat app on Azure via Azure AI Services – a step-by-step guide
Are you ready to revolutionize your business with cutting-edge AI technology? Dive into our comprehensive step-by-step guide on deploying a GPT-4o AI Chat app using Azure AI Services. Discover how to harness the power of advanced natural language processing to create interactive, human-like chat experiences. From setting up your Azure account to deploying your AI model and customizing your chat app, this guide covers it all. Unleash the potential of AI in your business and stay ahead of the curve with the latest advancements from Microsoft Azure. Don’t miss out on this opportunity to transform your workflows and elevate customer interactions to new heights!Building AI Agent Applications Series - Assembling your AI agent with the Semantic Kernel
In the previous series of articles, we learned about the basic concepts of AI agents and how to use AutoGen or Semantic Kernel combined with the Azure OpenAI Service Assistant API to build AI agent applications. For different scenarios and workflows, powerful tools need to be assembled to support the operation of the AI agent. If you only use your own tool chain in the AI agent framework to solve enterprise workflow, it will be very limited. AutoGen supports defining tool chains through Function Calling, and developers can define different methods to assemble extended business work chains. As mentioned before, Semantic Kernel has good business-based plug-in creation, management and engineering capabilities. Through AutoGen + Semantic Kernel, powerful AI agent solutions can be built.
