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UI-TARS

UI-TARS is a next-generation native GUI agent model for automating graphical user interface interactions.

#Artificial Intelligence
#automation
#multimodal
#reasoning
#Cross-platform
#GUI
UI-TARS

Product Details

UI-TARS is a new GUI agent model developed by ByteDance that focuses on seamless interaction with graphical user interfaces through human-like perception, reasoning, and action capabilities. The model integrates key components such as perception, reasoning, localization, and memory into a single visual language model, enabling end-to-end task automation without the need for predefined workflows or manual rules. Its main advantages include powerful cross-platform interaction capabilities, multi-step task execution capabilities, and the ability to learn from synthetic and real data, making it suitable for a variety of automation scenarios, such as desktop, mobile, and web environments.

Main Features

1
A unified action framework that supports desktop, mobile and web environments to enable cross-platform interaction.
2
Able to handle complex tasks through multi-step trajectories and inference training.
3
Combine large-scale annotation and synthetic data sets to improve generalization capabilities and robustness.
4
It has real-time interaction capabilities and can dynamically monitor the GUI and respond to changes in real time.
5
Supports System 1 and System 2 reasoning, incorporating intuitive reactions and advanced planning.
6
Provides task decomposition and reflection functions to support multi-step planning and error correction.
7
Possess short-term and long-term memory for situational awareness and decision support.
8
Provides a variety of reasoning and positioning ability evaluation indicators, and the performance is better than existing models.

How to Use

1
1. Visit [Hugging Face Inference Endpoints](https://huggingface.co/inference-endpoints) or deploy the model locally.
2
2. Build the input command using the provided Prompt template (mobile or computer scenario).
3
3. Base64 encode the local screenshot and send it to the model interface together with the command.
4
4. The model returns inference results, including action summary and specific operations.
5
5. Perform operations on the target device according to the returned action instructions.

Target Users

UI-TARS is suitable for developers, enterprises and research institutions that need to automate GUI interactions, such as in the fields of software testing, automated office, web page automation and intelligent customer service. It can help users reduce manual operations, improve work efficiency, and realize the automated execution of complex tasks through powerful reasoning and positioning capabilities.

Examples

In software testing, UI-TARS can automatically detect and fix problems in the GUI.

In automated office scenarios, UI-TARS can automatically complete tasks such as document processing and data entry.

In web automation, UI-TARS can automatically complete operations such as web browsing, form filling, and information extraction.

Quick Access

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Categories

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› AI model
› Automated workflow

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