Sources
Loading...
Additional media
Loading...
DeepNewz, mobile.
People-sourced. AI-powered. Unbiased News.
Researchers from KAUST, UTokyo, CMU, Stanford, Harvard, Tsinghua, SUSTech, and Oxford, in collaboration with CamelAIOrg, have developed the CRAB framework, an AI framework designed for building LLM agent benchmark environments in a Python-centric way. CRAB, which stands for Cross-environment Agent Benchmark, aims to become a general-purpose agent benchmark framework for Multimodal Language Model (MLM) agents. The framework includes CRAB Benchmark-v0, developed using the CRAB framework, which features 100 tasks across two environments, Ubuntu and Android. It provides an end-to-end and easy-to-use framework to build multimodal agents, operate environments, and create benchmarks to evaluate them. The CRAB framework is now open-sourced, allowing agents to control devices such as mobile phones, laptops, or desktops from a single prompt.
Crab Framework Released: An AI Framework for Building LLM Agent Benchmark Environments in a Python-Centric Way https://t.co/mPFKWVxDxh #AIFramework #AIResearch #AgentBenchmark #TaskEvaluation #MLMModels #ai #news #llm #ml #research #ainews #innovation #artificialintelligence … https://t.co/r14jPx8O7e
Crab Framework Released: An AI Framework for Building LLM Agent Benchmark Environments in a Python-Centric Way Researchers from KAUST, https://t.co/Jzfpedro73, UTokyo, CMU, Stanford, Harvard, Tsinghua, SUSTech, and Oxford have developed the Crab framework, a novel benchmarking… https://t.co/xkaVVvZg80
Agents can now control your mobile phone, laptop, or desktop from just one prompt. 🤖 We (@CamelAIOrg) have just released 🦀 CRAB as an open-source benchmark framework. In the early stages of this, the framework can: - 🎵 Play music based on a message I tell it to find on my… https://t.co/AccgGch9r6 https://t.co/HoP2hXrj3u
