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Getting Started with the AI Toolkit: A Beginner’s Guide with Demos and . . . In this blog, I’ll Walk you through what the AI Toolkit is, how you can get started, and where you can find helpful demos and ready-to-use code samples What is the AI Toolkit? The AI Toolkit is a collection of tools, templates, and sample apps that make it easier to build AI-powered applications and copilots using Microsoft Azure
Quick Start - Azure AI Foundry Workshop Quick Start Guide - Azure AI Foundry This notebook provides a hands-on introduction to Azure AI Foundry You'll learn how to: Initialize the AI Project client List available models Create a simple completion request Handle basic error scenarios Prerequisites Completed environment setup from previous notebook Azure credentials configured
GitHub - Azure-Samples AI-Foundry-Connections: Samples on how to use . . . AI Foundry Connections provides integration capabilities between various resources and AI Foundry Agent This repository contains example implementations, best practices, and starter templates to help you build intelligent applications using AI Foundry
Connect AI agent tools to external services - Databricks Learn how to connect AI agent tools to external applications like Slack, Google Calendar, or any service with an API using HTTP requests Agents can use externally connected tools to automate tasks, send messages, and retrieve data from third-party platforms Create a Unity Catalog HTTP connection See Connect to external HTTP services
Azure AI Foundry agents – Microsoft Adoption Change needs makers AI agents are changing the way we work From simple prompt-and-response agents to fully autonomous agents able to execute entire workflows from start to finish, there’s an agent for every need Get started building agents today with Microsoft 365 Copilot, Azure AI Foundry and Copilot Studio
Tutorial: Deploy an enterprise chat web app in the Azure AI Foundry . . . In this article, you deploy an enterprise chat web app that uses your own data with a large language model in Azure AI Foundry portal Your data source is used to help ground the model with specific data Grounding means that the model uses your data to help it understand the context of your question You're not changing the deployed model itself