10 Lessons to Get Started Building AI Agents

Python tool for converting files and office documents to Markdown.

Integrate cutting-edge LLM technology quickly and easily into your apps

Example project demonstrating how to implement GraphRAG

An opinionated end-to-end data governance implementation.

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…

The RAG Experiment Accelerator is a versatile tool designed to expedite and facilitate the process of conducting experiments and evaluations using Azure Cognitive Search and RAG pattern.

Early access to new features for Microsoft Fabric's Semantic Link.

Lab files for Azure AI Language modules

Some python code samples using Azure AI Search for Generative AI stuff

This project demonstrates how to evaluate the use of LLMs and SLMs for extracting structured data from documents using .NET

A multi-agent chatroom for AutoGen agents

Learn to build and customize multi-agent systems using the AutoGen. The course teaches you to implement complex AI applications through agent collaboration and advanced design patterns.

Supercharge your Microsoft Fabric development with the fabric_cat_tools library

Create your own SQL Server database from the IMDB dataset

Learn how to build solutions with Large Language Models.

A fine-tuning guide for both OpenAI and Open-Source Large Language Models on Azure.

the official implementation of the RecSys 2023 paper “Uncovering ChatGPT's Capabilities in Recommender Systems”

GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.

Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.

This repository contains example code to implement a Knowledge-Graph-enhanced search solution

Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)

Lab files for Azure AI Services modules

An automatic rostering system that can handle skill mix requirements, staff requests and shift sequence rules

This repo contains hands-on labs, most of which can be completed in ~2 hours.

Smart load balancing for OpenAI endpoints and Azure API Management

A python package to help work with the apache atlas REST APIs