“In this project we developed the first agentic foundation model, Magma, that can understand multimodal input and also take action in both digital and physical environments.” – Jianwei Yang, Principal Researcher, Microsoft Research Redmond Microsoft research copilot experience How does Magma...
a multimodal AI foundation model designed to process information and generate action proposals across both digital and physical environments. It is designed to enable AI agents to interpret user interfaces and suggest actions like button clicks, while also orchestrating rob...
AgentTraj/AgentTraj-L:这些数据集源自 AgentGym(Xi等,2024),分别包含 6,130 和 14,485 条筛选后的轨迹,涵盖 14 个环境。AgentTraj 为训练通用智能体提供基础,而 AgentTraj-L 通过相同管道收集了更大规模的轨迹集,为行为克隆(behavioral cloning)方法提供了性能上限。 SMART-Trajectory:专注于知识密集型任务的长...
python agents/ui_agent/app.pyMore importantly, as our Magma model not only has the action-grounding ability, but also multimodal understanding and reasoning ability. You can not only ask the model predict where to click with text:Go to the top ranked postBut also ask free question on the ...
python agents/ui_agent/app.pyMore importantly, as our Magma model not only has the action-grounding ability, but also multimodal understanding and reasoning ability. You can not only ask the model predict where to click with text:Go to the top ranked postBut also ask free question on the ...
Figure 1:We introduce Magma, the first foundation model that is capable of interpreting and grounding multimodal inputs within its environment. Given a described goal, Magma is able to formulate plans and execute actions to achieve it. By effectively transferring knowledge from freely available visual...
Overall, we believe that pre-training a large-scale multimodal foundation model is indeed a potential approach to achieving AGI. Fig. 1: Overarching concept of our BriVL model with weak training data assumption. a Comparison between the human brain and our multimodal foundation model BriVL (...
The first systematic, corpus-based and theoretically rigorous approach to the description and analysis of multimodal documents. Drawing on academic research and the experience of designers and production teams, Bateman uses linguistically-based analysis to show how different modes of expression together ...
Fig. 1: Aurora is a 1.3-billion-parameter foundation model for the Earth system. Icons are for illustrative purposes only.a, Aurora is pretrained on several heterogeneous datasets with different resolutions, variables and pressure levels. The model is then fine-tuned for several operational forecasti...
Keywordsautonomous agent, large language model, human-level intelligence 1 介绍(Introduction) “自主代理是一个位于环境内并作为环境一部分的系统,随着时间的推移,它能感知环境并对其采取行动,以实现自己的目标,从而影响它在未来感知到的东西。”——富兰克林和格雷瑟(1997) ...