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Generalist Agent AI

Naoki Wake · Zane Durante · Ran Gong · Jae Sung Park · Bidipta Sarkar · Rohan Taori · Yusuke Noda · Yejin Choi · Demetri Terzopoulos · Katsushi Ikeuchi · Hoi Vo · Li Fei-Fei · Jianfeng Gao · Qiuyuan Huang

Summit 446
[ ] [ Project Page ]
Tue 18 Jun 8:30 a.m. PDT — noon PDT


Generalist Agent AI (GAA) is a family of systems that generate effective actions in an environment based on the understanding of multimodal sensory input. While these systems are expanding into various fields with the advent of large foundation models, they share common interests such as data collection, benchmarking, and ethical perspectives. In this tutorial, we focus on several representative research areas of GAA, including gaming, robotics, and healthcare, and aim to provide comprehensive knowledge on the common concerns discussed in these fields. We expect the participants to learn the fundamentals of GAA and gain insights to further advance their research. Specific learning outcomes include: - GAA Overview: A deep dive into its principles and roles in contemporary applications, providing attendees with a thorough grasp of its importance and uses. - Methodologies: Detailed examples of how LLMs and VLMs enhance GAAs, illustrated through case studies. - Performance Evaluation: Guidance on the assessment of GAAs with relevant datasets. - Ethical Considerations: A discussion on the societal impacts and ethical challenges of deploying Agent AI, highlighting responsible development practices. - Future Challenges: A categorization of the latest developments in each domain and a discussion of future directions. Led by experts from academia and industry, we expect the tutorial to be an interactive and enriching experience. This event will include talks, Q&A sessions, and a panel discussion, ensuring a comprehensive and engaging learning experience for all participants.

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