Summary of Ferret-ui 2: Mastering Universal User Interface Understanding Across Platforms, by Zhangheng Li et al.
Ferret-UI 2: Mastering Universal User Interface Understanding Across Platforms
by Zhangheng Li, Keen You, Haotian Zhang, Di Feng, Harsh Agrawal, Xiujun Li, Mohana Prasad Sathya Moorthy, Jeff Nichols, Yinfei Yang, Zhe Gan
First submitted to arxiv on: 24 Oct 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Computation and Language (cs.CL); Machine Learning (cs.LG)
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Summary difficulty | Written by | Summary |
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High | Paper authors | High Difficulty Summary Read the original abstract here |
Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The abstract discusses the challenges of building a generalist model for user interface (UI) understanding due to various foundational issues such as platform diversity, resolution variation, and data limitation. The paper introduces Ferret-UI 2, a multimodal large language model designed for universal UI understanding across multiple platforms including iPhone, Android, iPad, Webpage, and AppleTV. Ferret-UI 2 builds upon the foundation of Ferret-UI with three key innovations: support for multiple platform types, high-resolution perception through adaptive scaling, and advanced task training data generation powered by GPT-4o with set-of-mark visual prompting. This enables Ferret-UI 2 to perform complex user-centered interactions, making it highly versatile and adaptable across different platforms. |
Low | GrooveSquid.com (original content) | Low Difficulty Summary Ferret-UI 2 is a new tool that helps computers understand how to interact with people using different devices like phones, tablets, and TVs. It’s hard for computers to learn how to do this because there are many different types of devices and screens. The researchers created Ferret-UI 2 to fix these problems by adding special features that let it work on multiple platforms and see things in high resolution. They also used a powerful AI tool called GPT-4o to help train Ferret-UI 2. This means the computer can learn how to perform complex tasks like giving people instructions or making recommendations. |
Keywords
» Artificial intelligence » Gpt » Large language model » Prompting