Artificial General Intelligence
Artificial General Intelligence (AGI) aims to create AI systems possessing human-level cognitive abilities across diverse domains, encompassing reasoning, learning, and problem-solving. Current research heavily focuses on leveraging large language models (LLMs) and their extensions, such as multimodal LLMs and LLM-based agents, to achieve this goal, exploring their capabilities in various tasks and environments, including game playing, scientific discovery, and even autonomous driving. This pursuit holds immense significance, potentially revolutionizing numerous fields through the development of more adaptable and versatile AI systems capable of tackling complex real-world problems. The integration of techniques like mixture of experts and the exploration of "specialized generalist" AI models are also key areas of investigation.
Papers
On Large Language Models in National Security Applications
William N. Caballero, Phillip R. Jenkins
52B to 1T: Lessons Learned via Tele-FLM Series
Xiang Li, Yiqun Yao, Xin Jiang, Xuezhi Fang, Chao Wang, Xinzhang Liu, Zihan Wang, Yu Zhao, Xin Wang, Yuyao Huang, Shuangyong Song, Yongxiang Li, Zheng Zhang, Bo Zhao, Aixin Sun, Yequan Wang, Zhongjiang He, Zhongyuan Wang, Xuelong Li, Tiejun Huang