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.
AI Controller Interface (AICI)
The AI Controller Interface is a system design and implementation that enables customer user code (AI Controllers, implemented as light-weight virtual machines) to tightly, efficiently, and securely integrate with LLM decoding in a cloud service.…
Node Engine
Node Engine is a Python service that executes a computational flow. It is designed for rapid prototyping of services and applications, e.g. used as a chatbot service in a larger system. Each call to the service…
Diffy Config Analyzer
Diffy is a research prototype tool that analyzes JSON configuration files. The goal of Diffy is to assist with configuration management. It compares JSON files and warns about potential issues by finding configuration settings that…
Neural Invariant Ranker
Official code release of our EMNLP 2023 work NeuralInvariantRanker (opens in new tab). We have designed a ranker that can distinguish between correct inductive invariants and incorrect attempts based on the problem definition. The ranker…
KITAB Dataset
đź•® KITAB is a challenging dataset and a dynamic data collection approach for testing abilities of Large Language Models (LLMs) in answering information retrieval queries with constraint filters. A filtering query with constraints can be…
Algorithms to Handle Signal Delay in Deep Reinforcement Learning
Algorithms to Handle Signal Delay in Deep Reinforcement Learning aims to address the problem of signal delay in continuous robotic control. Signal delay occurs when there is a lag between an agent’s perception of the…