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Integrate cutting-edge LLM technology quickly and easily into your apps
This sample has the full End2End process of creating RAG application with Prompty and Azure AI Foundry. It includes GPT 3.5 Turbo LLM application code, evaluations, deployment automation with AZD C…
Official community-driven Azure AI Examples
Fabric Real Time Analytics in a Day workshop
A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.
Lab files for Azure AI Services modules
Learn how to use the Cognitive Services Python SDK with these samples
Cohere Toolkit is a collection of prebuilt components enabling users to quickly build and deploy RAG applications.
About CosmosDB AI Graph and Knowledge Graph Solutions
Colony Sim Game using Django and Azure Cosmos DB
12 Weeks, 24 Lessons, IoT for All!
12 Weeks, 24 Lessons, AI for All!
10 Weeks, 20 Lessons, Data Science for All!
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
The Azure Cloud Native Architecture Mapbook, published by Packt
Repository containing resources used for 365daysofADX.
azure-iot-samples-python provides a set of easy-to-understand, continuously-tested samples for using Azure IoT Hub and Azure IoT Hub Device Provisioning Service using Python SDK.
Official community-driven Azure Machine Learning examples, tested with GitHub Actions.
Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
node of the decentralized oracle network, bridging on and off-chain computation
An R package for the Quantitative Analysis of Textual Data
Samples for using optimization solvers through Azure Quantum.
Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning
API for manipulating time series on top of Apache Spark: lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, downsampling, and interpolation
A notebook tutorial series for performing predictive maintenance using machine learning