Agents with foundation models:advance and vision  

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作  者:Chenghua GONG Xiang LI 

机构地区:[1]School of Data Science and Engineering,East China Normal University,Shanghai 200062,China

出  处:《Frontiers of Computer Science》2025年第4期119-120,共2页计算机科学前沿(英文版)

摘  要:1 Introduction With rapid development in computing power and breakthroughs in deep learning,the concept of“foundation models”has been introduced into the AI community.Generally,foundation models are large models trained on massive data and can be easily adapted to different domains for various tasks.With specific prompts,foundation models can generate texts and images,or even animate scenarios based on the given descriptions.Due to powerful capabilities,there is a growing trend to build agents based on foundation models.In this paper,we conduct an investigation into agents empowered by the foundation models.

关 键 词:computing power foundation models adapted different domains animate scenarios deep learningthe massive data generate texts imagesor deep learning 

分 类 号:TP18[自动化与计算机技术—控制理论与控制工程]

 

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