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This sample has the full End2End process of creating RAG application with Prompty and Azure AI Foundry. It includes GPT-4 LLM application code, evaluations, deployment automation with AZD CLI, GitHub actions for evaluation and deployment and intent mapping for multiple LLM task mapping.
Model Mondays is a weekly livestream with Discord office hours - to help you navigate the fast-moving ecosystem of generative AI models with 5-minute roundups and 15-minute spotlight sessions. Build your model IQ - and make informed model choices!
Open-WebUI-Functions is a collection of custom pipelines, filters, and integrations designed to enhance Open WebUI. These functions enable seamless interactions with Azure AI, N8N, and other AI models, providing dynamic request handling, preprocessing, and automation.
Programmatically extract data and apply schemas to unstructured documents across text-based and multi-modal content using Azure AI Foundry, Azure OpenAI, Azure AI Content Understanding, and Cosmos DB.
The LLMAgentOps Toolkit is a repository that provides a foundational structure for building LLM Agent-based applications using the Semantic Kernel. It serves as a starting point for data scientists and developers, facilitating experimentation, evaluation, and deployment of LLM Agent-based applications to production.
DataSage is an AI-powered question-answering system for tabular (SQL) data, leveraging Azure AI Foundry, LangGraph, Azure SQL DB, and Streamlit. It enables users to query databases using natural language and retrieve intelligent, context-aware responses. Deployment is supported via Python and Bicep for seamless Azure resource provisioning.
PACT (Prompt Auto-Correction and Testing) is an advanced system that auto-corrects, sanitizes user inputs, and tests and compares statistics before sending them to the AI. A golden gateway to improve prompt-engineering skills of the users.
Workshop for building intelligent AI solutions using Azure AI Foundry, featuring Vector Search, RAG, Agentic AI, and multi-agent orchestration with LangChain and Azure AI Search.
Model Mondays is a weekly livestreamed series on Microsoft Reactor that helps you make informed model choice decisions with timely updates and model deep-dives. Watch live for the content. Join Discord for the discussions.
Demonstrates a workflow for LLM function calling evaluation. Uses GitHub Copilot to generate synthetic eval data and Azure AI Foundry for handling results.
This project provides a chatbot user interface that can connect to various large language model backends. Configure it to use OpenAI, Azure OpenAI, or GitHub Models by setting the appropriate environment variables.