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Public- Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committed to automating these high-value generic R&D processes through R&D-Agent, which lets AI drive data-driven AI. 🔗https://aka.ms/RD-Agent-Tech-Report
- The Microsoft community Windows Package Manager manifest repository
- This repository holds the source code of Microsoft.Testing.Platform (MTP), a lightweight alternative to VSTest, as well as MSTest adapter and framework.
- AI-in-One Dashboard Power BI template for comprehensive AI usage analytics
- Visual Studio Code
- A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.
- A 'ping' equivalent tool for QUIC.
- Validate infrastructure as code (IaC) and objects using PowerShell rules.
- Contributor tools and guides for fluentui charting library
- An open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text, images, and structured data. Supports NLP, pattern matching, and customizable pipelines.
- A collection of Power Platform and Dynamics 365 resources, open-sourced to the State & Local Government community.
- This is a Phi Family of SLMs book for getting started with Phi Models. Phi a family of open sourced AI models developed by Microsoft. Phi models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding, and math benchmarks