This repo hosts samples meant to help design AI applications built on data from an Azure SQL Database. We illustrate key technical concepts and demonstrate workflows that integrate Azure SQL data with other popular AI application components inside and outside of Azure.
Training materials for running a workshop or training session for the Contoso Chat sample
Minimal Prompt Flow Spam or Ham classificator and evaluation example.
Docker image for ease usage of promptflow cli tools. For example in github actions to run evaluation flows
Sample to envision intelligent apps with Microsoft's Copilot stack for AI-infused product experiences.
AI Agent Powered & Fast web-based, Android terminal, make your device as a AI Device.
ChatDev IDE is an tools for building your ai agent, Whether it's NPCs in games or powerful agent tools, you can design what you want for this platform.
GenAIOps with Prompt Flow is a "GenAIOps template and guidance" to help you build LLM-infused apps using Prompt Flow. It offers a range of features including Centralized Code Hosting, Lifecycle Management, Variant and Hyperparameter Experimentation, A/B Deployment, reporting for all runs and experiments and so on.
The tool package for Microsoft's Prompt flow and the VS Code extension
Hands on labs originally created for the Step by Step for partners motion in Portugal and now available for everyone.
This repository is set up with the RAG with Azure AI Studio and Promptflow project template, designed for efficient Retrieval Augmented Generation projects. It includes Bicep templates for resource creation.
This repository is intended for external AI training (ML x AzureOpenAI) materials
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