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.
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…
Official code release of our EMNLP 2023 work NeuralInvariantRanker. We have designed a ranker that can distinguish between correct inductive invariants and incorrect attempts based on the problem definition. The ranker is optimized as a…
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 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…
A large-scale egocentric human interaction dataset, where two people collaboratively complete physical manipulation tasks.
Orca 2 is a finetuned version of LLAMA-2. It is built for research purposes only and provides a single turn response in tasks such as reasoning over user given data, reading comprehension, math problem solving…
Orca 2 is a finetuned version of LLAMA-2. It is built for research purposes only and provides a single turn response in tasks such as reasoning over user given data, reading comprehension, math problem solving…
LLF Bench is a benchmark for evaluating learning agents that provides a diverse collection of interactive learning problems where the agent gets language feedback instead of rewards (as in RL) or action feedback (as in…
