https://github.com/abdur75648/v-zen

V-Zen: Efficient GUI Understanding and Precise Grounding With A Novel Multimodal LLM Resources
https://github.com/abdur75648/v-zen

agi chatgpt gpt grounding-dino gui gui-automation large-language-models llama llm mistral multimodal-large-language-models superagi vicuna

Last synced: 4 months ago
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V-Zen: Efficient GUI Understanding and Precise Grounding With A Novel Multimodal LLM Resources

• Host: GitHub
• URL: https://github.com/abdur75648/v-zen
• Owner: abdur75648
• License: apache-2.0
• Created: 2024-07-21T07:45:44.000Z (7 months ago)
• Default Branch: main
• Last Pushed: 2024-07-21T07:46:36.000Z (7 months ago)
• Last Synced: 2024-10-10T04:33:48.205Z (4 months ago)
• Topics: agi, chatgpt, gpt, grounding-dino, gui, gui-automation, large-language-models, llama, llm, mistral, multimodal-large-language-models, superagi, vicuna
• Homepage: https://arxiv.org/abs/2405.15341
• Size: 5.86 KB
• Stars: 2
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# V-Zen: Efficient GUI Understanding and Precise Grounding With A Novel Multimodal LLM

## Introduction



  

    

  

  

    

  



[![V-Zen](https://img.shields.io/badge/V--Zen-blueviolet?logo=github&style=flat-square)](https://github.com/abdur75648/V-Zen)

[![SuperAGI](https://img.shields.io/badge/SuperAGI-purple?style=flat-square)](https://superagi.com/)

[![arXiv](https://img.shields.io/badge/arXiv-2405.15341-darkred.svg)](https://arxiv.org/abs/2405.15341)

[![Demo](https://img.shields.io/badge/Demo-Online-brightgreen.svg)](https://superagi.com/)

V-Zen is a novel multimodal large language model (LLM) designed for efficient GUI understanding and precise grounding. Our model introduces an innovative architecture that significantly improves the performance of GUI automation tasks.

## Code Availability

Coming Soon...

## Citation

If you find this work useful, please consider citing the following paper:

```

@article{author2024vzen,

      title={V-Zen: Efficient GUI Understanding and Precise Grounding With A Novel Multimodal LLM},

      author={Abdur Rahman and Rajat Chawla and Muskaan Kumar and Arkajit Datta and Adarsh Jha and Mukunda NS and Ishaan Bhola},

      journal={arXiv preprint arXiv:2405.15341},

      year={2024},

      eprint={2405.15341},

      archivePrefix={arXiv},

      primaryClass={cs.AI},

      url={https://arxiv.org/abs/2405.15341}, 

}

```