Introducing Azure AI Agent Service
Introducing Azure AI Agent Service at Microsoft Ignite 2024 Discover how Azure AI Agent Service is revolutionizing the development and deployment of AI agents. This service empowers developers to build, deploy, and scale high-quality AI agents tailored to business needs within hours. With features like rapid development, extensive data connections, flexible model selection, and enterprise-grade security, Azure AI Agent Service sets a new standard in AI automationSix reasons why startups and at-scale cloud native companies build their GenAI Apps with Azure
Azure has evolved as a platform of choice for many startups including Perplexity and Moveworks, as well as at-scale companies today. Here are six reasons why we see companies of all sizes building their GenAI apps on Azure OpenAI Service.Develop a Library Web API: Integrating Azure Cosmos DB for MongoDB with ASP.NET Core
As a software developer, you’re always seeking ways to build scalable, high-performance applications. Azure Cosmos DB for MongoDB offers the flexibility of MongoDB with the reliability and global reach of Azure. In this blog, we’ll explore how to integrate Azure Cosmos DB for MongoDB with your ASP.NET Core application, walking through the key steps for setting up a simple API to perform CRUD operations. By leveraging this powerful combination, you can streamline your development process and unlock new possibilities for your data-driven projects. In our previous blog, we delved into the capabilities of azure cosmos DB for MongoDB using Open MongoDB shell in Azure portal. I highly recommend checking it out to understand the fundamentals
The Azure Multimodal AI & LLM Processing Solution Accelerator
The Azure Multimodal AI & LLM Processing Accelerator is your one-stop-shop for all backend AI+LLM processing use cases like content summarization, extraction, classification and enrichment. This single accelerator supports all types of input data (text, documents, audio, image, video etc) and combines the best of Azure AI Services and LLMs to achieve reliable, consistent and scalable automation of tasks.Build a chatbot service to ensure safe conversations: Using Azure Content Safety & Azure OpenAI
This tutorial is ideal for anyone who wants to build a chatbot service with strong content moderation capabilities. In this tutorial, you will learn how to build a chatbot service that interacts with users using Azure Cosmos DB, Azure Content Safety, and Azure OpenAI. This service provides the following features: 1. Analyze user messages for safety: Analyze messages entered by users using Azure Content Safety to evaluate them for hate, self-harm, sexual content, and violence. 2. Conversations with chatbot: Conduct conversations about safe messages using Azure OpenAI. 3. Manage conversation history: Store a user's conversation history in Azure Cosmos DB and load or clear the history as needed.Getting started with Azure Cosmos Database (A Deep Dive)
A deep dive into Azure Cosmos DB - a globally distributed, real-time NoSQL and relational database that scales effortlessly and delivers seamless performance at every level. Topics to be covered NoSQL Vs Relational Databases What is Azure Cosmos DB Azure cosmos DB Architecture Azure Cosmos Db Components Multi-model (APIs) Partitions Request Units Azure cosmos DB Access Methods Scenario: Event Database Creating Resources using Azure cosmos DB for NoSQL
