Alibaba’s newly released QVQ-72B multi-modal reasoning model is built based on Qwen2-VL-72B and shows excellent performance in visual reasoning, mathematics and scientific problems. It can fuse language and visual information, perform multi-step reasoning, and solve complex problems. It is especially outstanding in the derivation of causal relationships in physical problems and complex mathematical reasoning, significantly reducing the error rate and providing clear problem-solving steps. QVQ-72B also demonstrates efficient and accurate ability to extract key information in processing technical reports and complex chart analysis, and has accurate image detail recognition capabilities. It can be applied to fields such as intelligent monitoring and autonomous driving.
QVQ-72B has made a major breakthrough in the field of multi-modal AI. Its powerful reasoning capabilities provide new ideas and tools for solving complex problems, injecting new impetus into the intelligent upgrade of various industries. The online trial and detailed introduction links are: https://huggingface.co/spaces/Qwen/QVQ-72B-preview and https://qwenlm.github.io/blog/qvq-72b-preview/. It is believed that the emergence of QVQ-72B will promote the application and development of artificial intelligence technology in more fields.