💻 programming

cogagent-9b-20241220

CogAgent-9B-20241220 is a GUI agent model based on the visual language model.

#visual language model
#GUI agent
#bilingual interaction
#multi-stage training
#Strategy improvements
cogagent-9b-20241220

Product Details

The CogAgent-9B-20241220 model is based on the GLM-4V-9B bilingual open source VLM basic model. Through data collection and optimization, multi-stage training and strategy improvement, it has made significant progress in GUI perception, reasoning prediction accuracy, action space integrity and task generalization. The model supports bilingual (Chinese and English) interaction and can handle screenshots and language input. This version has been applied to ZhipuAI’s GLM-PC product and is designed to help researchers and developers advance the research and application of GUI agents based on visual language models.

Main Features

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• GUI-aware: The model is able to understand and handle graphical user interface (GUI) related tasks.
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• Inference prediction: The model can make accurate inference predictions to help perform GUI tasks.
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• Action space completeness: The model can understand and execute the complete action space, covering a variety of GUI operations.
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• Task generalization: The model has good task generalization capabilities and can handle a variety of different GUI tasks.
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• Bilingual interaction: The model supports interaction between Chinese and English to meet the needs of users in different languages.
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• Multi-stage training: The model is optimized through multi-stage training, improving performance and accuracy.
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• Strategy improvements: The model adopts strategy improvements to improve the execution efficiency of GUI tasks.

How to Use

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1. Visit the GitHub page to get specific examples of model operation.
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2. Format user input according to model input and output guidelines, and interpret formatted output.
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3. Pay attention to the prompt connection process, and refer to the specific code examples on GitHub to connect user input prompts.
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4. When using the model, make sure to comply with the model license agreement.
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5. According to the task requirements, construct appropriate input commands, such as search, click, filter and other operations.
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6. Run the model and observe the output results, and adjust the input commands based on the output to optimize task execution.
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7. Participate in community discussions and exchange model usage experiences and techniques with other users.

Target Users

The target audience is researchers and developers, especially those professionals who focus on artificial intelligence, natural language processing and computer vision. The CogAgent-9B-20241220 model can help them build and optimize GUI agents based on visual language models, and promote the research and application of related technologies.

Examples

Case 1: Researchers used the CogAgent-9B-20241220 model to develop a GUI agent that can automatically complete software testing.

Case 2: Developers use this model to create an automated tool that can automatically perform web page operations based on user instructions.

Case 3: Enterprises use the CogAgent-9B-20241220 model to improve the user experience of their software products and reduce users’ operational complexity by automating common tasks.

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💻 programming
› AI model
› Development and Tools

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