Artificial Intelligence
Building intelligent machines that complement human reasoning and extend what people can do.
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SafeAgents
A unified framework for building and evaluating safe multi-agent systems SafeAgents provides a simple, framework-agnostic API for creating multi-agent systems with built-in safety evaluation, attack detection, and support for multiple agentic frameworks (Autogen, LangGraph, OpenAI…
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BusyBox
BusyBox is a physical 3D-printable device for benchmarking affordance generalization in robot foundation models. It features Please check out our website (opens in new tab) for more details. For fully building a instrumented BusyBox capable…
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interwhen
interwhen is a test-time verification framework for language models that enforces correctness with respect to a set of verifiers. It is designed to improve instance-level reliability in reasoning systems, particularly in high-stakes domains where occasional…
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TestExplora
This repository is the official implementation of the paper “TestExplora: Benchmarking LLMs for Proactive Bug Discovery via Repository-Level Test Generation” It can be used for baseline evaluation using the prompts mentioned in the paper. TestExplora…
Blog de recherche Microsoft
Systematic debugging for AI agents: Introducing the AgentRx framework
As AI agents transition from simple chatbots to autonomous systems capable of managing cloud incidents, navigating complex web interfaces, and executing multi-step API workflows, a new challenge has emerged: transparency. When a human makes a…
