arxiv preprint – MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action

In this episode we discuss MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action
by Zhengyuan Yang, Linjie Li, Jianfeng Wang, Kevin Lin, Ehsan Azarnasab, Faisal Ahmed, Zicheng Liu, Ce Liu, Michael Zeng, Lijuan Wang. The paper introduces MM-REACT, a system that combines ChatGPT with expert vision models to tackle challenging visual tasks. MM-REACT utilizes a unique prompt design to enable language models to process multimodal information and interact with vision experts. Zero-shot experiments demonstrate the effectiveness of MM-REACT in achieving advanced visual understanding capabilities beyond existing models.