Large Language Models (LLMs) are highly advanced and are playing a significant role in driving economic and social changes. One popular AI tool that has gained a lot of popularity recently is ChatGPT. ChatGPT is a natural language processing model that allows users to generate text that makes sense, similar to human language. It is powered by GPT-4, which is the latest language model from OpenAI.
The field of computer vision has also made significant advancements in Artificial Intelligence and Machine Learning. Researchers have recently introduced a system called MM-REACT, which combines ChatGPT with multiple vision experts for multimodal reasoning and action. This system is designed to overcome the challenges faced by existing vision and vision-language models when it comes to complex visual understanding tasks.
MM-REACT uses a prompt design to represent different types of information, such as text descriptions, spatial coordinates, and visual signals like images and videos. This design enables ChatGPT to process different types of information along with visual input, leading to more accurate and comprehensive understanding.
To enable ChatGPT to accept images as input, the file path is used as a placeholder and inputted into the system. When specific information from the image is required, ChatGPT seeks assistance from a specific vision expert. The expert’s output is then combined with the input to enhance ChatGPT’s response. If no external experts are needed, the response is directly returned to the user.
To make ChatGPT understand the capabilities of the vision experts, certain instructions are added to ChatGPT prompts. These instructions include information about each expert’s capability, input argument type, and output type, along with relevant examples. A special watchword is also used to invoke the expert using regex expression matching.
Experiments have shown that MM-REACT effectively addresses a wide range of advanced visual tasks. It has successfully solved tasks like solving linear equations displayed in an image and understanding concepts by identifying products and their ingredients in an image. In conclusion, MM-REACT combines language and vision expertise to achieve advanced visual intelligence.
For more information, you can check out the research paper, project, and Github links provided. Credit goes to the researchers behind this project. Don’t forget to join our ML SubReddit, Discord Channel, and subscribe to our Email Newsletter for the latest AI research news and cool projects.