QVQ-Max - Ali Tongyi Launches Visual Reasoning Models

What is QVQ-Max

QVQ-Max is an upgraded version of QVQ-72B-Preview, an advanced visual reasoning model introduced by Ali Tongyi, which can "read" images and video content and combine them with information for analysis and problem solving. QVQ-Max can "read" images and video content, and analyze, reason and solve problems by combining the information.QVQ-Max's main functions include image parsing, video analysis, in-depth reasoning, and idea generation, which can quickly recognize key elements in images, analyze the plot of the video, and reason by combining the background knowledge. The model can create role-playing content or design illustrations according to the user's needs, etc. QVQ-Max shows great potential in solving complex mathematical problems, and performs well in several scenarios, such as workplace assistance, study tutoring, life advice, and creativity creation, etc. QVQ-Max is expected to become a powerful visual intelligence assistant to help people solve more practical problems.

Key Features of QVQ-Max

• image parsing: Quickly identify objects, text logos and small details in images that are easily overlooked, accurately extract key information, understand the overall scene and layout of the image, and provide a solid foundation for subsequent analysis and reasoning.
• video analysis: Based on frame-by-frame analysis of the video content, it understands the scene changes, character actions and plot development in the video, and speculates on the subsequent plot based on the current frame, demonstrating a strong dynamic visual comprehension capability.
• inference: Recognize visual information, combine it with rich background knowledge to reason deeply about image or video content, and solve complex mathematical problems, logic puzzles, or other tasks requiring comprehensive analysis, demonstrating strong thinking skills.
• Idea Generation: Design illustrations, create short video scripts, generate role-playing content, etc. according to users' creative needs, helping users inspire creativity and providing strong support for artistic creation and content production.

QVQ-Max performance

In the MathVision benchmark test, QVQ-Max demonstrated strong math problem solving ability based on adjusting the maximum thought length with consistently improved accuracy.

QVQ-Max's official website address

• Project website::https://qwenlm.github.io/zh/blog/qvq-max-preview/

How to use QVQ-Max

• Visit the official website: Visit QwenChat'sOfficial website(math.) genus
• Register Login: On the official homepage, find the "Register" button and click on it to complete the registration and login.
• Select ModelOnce you have successfully logged in, locate and click on the "QVQ-Max" model to access the Visual Reasoning function.
• Upload content: In the QVQ-Max interface, find the "Upload Files" button and click it to select the image or video file you want to analyze.
• Submit Waiting: After confirming that the image or video has been uploaded successfully and that the description of the problem is clear and correct, click the "Submit" button. After submission, QVQ-Max will start processing the request.
• View Results: After processing is complete, QVQ-Max generates and displays the results on the page.

Core Benefits of QVQ-Max

• Strong visual comprehension: QVQ-Max accurately recognizes key elements in images and videos to quickly understand complex visual content.
• Deep Reasoning and Analysis: The model incorporates background knowledge for deep reasoning to support identification, analysis, and problem solving.
• Multimodal Interaction Experience: Supports multiple input methods such as text, image and video, providing a more natural and flexible interactive experience.
• Wide range of application scenarios: QVQ-Max covers study, work and life scenarios to meet diverse needs.

People for whom QVQ-Max is suitable

• schoolchildren: Helping students answer math, physics and other subject matter challenges to improve their learning.
• professional: Assist with data analysis, code writing, and other tasks to optimize workplace wear and improve productivity.
• creative worker: Creative inspiration and content generation for designers, illustrators, and video creators to inspire creative potential.
• life enthusiast: Enriching daily life with advice on what to wear, cooking instructions and practical advice on living.
• educator: Help students understand complex concepts based on image and video analysis and provide creative support for course design.