Discover an index of datasets, SDKs, APIs and open-source tools developed by Microsoft researchers and shared with the global academic community below. These experimental technologies—available through Azure AI Foundry Labs (opens in new tab)—offer a glimpse into the future of AI innovation.
BenchmarkQED is a suite of tools designed for automated benchmarking of retrieval-augmented generation (RAG) systems. It provides components for query generation, evaluation, and dataset preparation to facilitate reproducible testing at scale.
Magentic-UI is a research prototype of an agentic web interface for solving complex web tasks. An Orchestrator coordinates four AutoGen agents—WebSurfer, Coder, FileSurfer, and UserProxy—to handle browsing, coding, file management, and user feedback, etc. It…
Chemically transferable wave function model for molecules. This package provides an implementation of the Orbformer wave function foundation model.
FlexCAD aims at achieving controllable CAD generation across all CAD construction hierarchies. It takes an original CAD model along with the part the user intends to modify (highlighted in blude) as input, and generates multiple…
Repo for “Chain-of-Reasoning: Towards Unified Mathematical Reasoning in Large Language Models via a Multi-Paradigm Perspective”
We employ GloVe and random projection theory to infer immunologically meaningful T-cell receptor embeddings from adaptive immune repertoires. This repository contains the Pytorch code to replicate experiments in our paper “Scalable Universal T-Cell Receptor Embeddings…
This repository contains the code for the paper “Improving Instruction-Following in Language Models through Activation Steering,” presented at ICLR 2025.
Repository for “On Memory Construction and Retrieval for Personalized Conversational Agents”
