Computer Science

Towards artificial general intelligence via a multimodal foundation model

N. Fei, Z. Lu, et al.

This groundbreaking research introduces BriVL, a multimodal foundation model that excels in understanding and imagination across various cognitive tasks. Conducted by Nanyi Fei and colleagues, this study represents a significant leap towards Artificial General Intelligence (AGI).

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Abstract

This paper introduces BriVL, a multimodal foundation model trained on a massive dataset of weakly correlated image-text pairs. The model demonstrates promising results on various downstream cognitive tasks, showcasing strong imagination and cross-modal understanding capabilities. The authors argue that this approach represents a significant step toward achieving Artificial General Intelligence (AGI).

Publisher

Nature Communications

Published On

Jun 02, 2022

Authors

Nanyi Fei, Zhiwu Lu, Yizhao Gao, Guoxing Yang, Yuqi Huo, Jingyuan Wen, Haoyu Lu, Ruihua Song, Xin Gao, Tao Xiang, Hao Sun, Ji-Rong Wen

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