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UI-TARS-7B-SFT

Next-generation native GUI proxy model, capable of seamlessly interacting with graphical user interfaces.

#Artificial Intelligence
#automation
#Task automation
#semantic understanding
#multimodal interaction
#visual perception
UI-TARS-7B-SFT

Product Details

UI-TARS is a next-generation native GUI agent model developed by ByteDance's research team, designed to seamlessly interact with graphical user interfaces through human-like perception, reasoning, and action capabilities. The model integrates all key components such as perception, reasoning, localization and memory, enabling end-to-end task automation without the need for predefined workflows or manual rules. Its main advantages include powerful multi-modal interaction capabilities, high-precision visual perception and semantic understanding capabilities, and excellent performance in a variety of complex task scenarios. This model is suitable for scenarios that require automated GUI interaction, such as automated testing, smart office, etc., and can significantly improve work efficiency.

Main Features

1
Strong visual perception ability, able to achieve excellent performance in a variety of visual tasks.
2
Efficient semantic understanding ability, able to accurately understand natural language instructions.
3
Accurate interface element positioning capabilities enable quick positioning of target elements in complex GUI environments.
4
Powerful task automation capabilities enable end-to-end task automation.
5
It supports multiple modal inputs and can process multiple types of data such as images and text at the same time.
6
Have memory ability and be able to reason and make decisions based on historical interactive information.
7
Supports multi-tasking and can flexibly switch between multiple tasks.
8
It has good scalability and can be customized and optimized according to different needs.

How to Use

1
1. Prepare the GUI interface that requires interaction.
2
2. Load the model into a supported framework (such as Hugging Face Transformers).
3
3. Enter modal data such as natural language instructions or images.
4
4. The model performs perception, reasoning and decision-making based on the input data, and generates corresponding operation instructions.
5
5. Send operation instructions to the GUI interface to complete interactive tasks.
6
6. Adjust model parameters as needed to optimize interaction effects.

Target Users

This model is suitable for scenarios that require automated GUI interaction, such as automated testing, smart office, smart customer service, etc. For enterprises and developers that need to handle a large number of GUI interaction tasks, UI-TARS can significantly improve work efficiency and reduce labor costs. In addition, this model is also suitable for scenarios that require multi-modal interaction, such as smart driving, smart homes, etc., and can provide users with a more natural and convenient interactive experience.

Examples

In automated testing scenarios, UI-TARS can automatically identify and operate interface elements to complete testing tasks.

In smart office scenarios, UI-TARS can automatically operate office software according to user instructions to improve work efficiency.

In intelligent customer service scenarios, UI-TARS can automatically operate relevant interfaces based on user questions and provide more accurate answers.

Quick Access

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Categories

💼 productive forces
› AI model
› Automated workflow

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