Artificial Intelligence

Quzhi AI Open Platform

Leveraging the capabilities of its self-built Wuxiang Cloud Valley AI Computing Center, Quzhi provides end-to-end services spanning data annotation, model training, and terminal deployment. It supports flexible scheduling of computing resources, comes with a variety of pre-trained models, and enables model fine-tuning and performance optimization. Additionally, Quzhi offers visualized intelligent agent orchestration and modular design to accelerate development, while also facilitating efficient cloud-to-edge deployment—helping smart applications achieve rapid implementation.

Computational Resource Allocation

Scenario Data Preparation

Foundation LLM Selection

Scenario Model Training

Agent Development

Software Development Integration

Terminal Application Deployment

Computational Resource Allocation

The Quzhi platform leverages a container cloud foundation to deliver flexible compute resource scheduling capabilities. Users can dynamically allocate computing resources based on their needs, while the platform automatically orchestrates resources such as CPUs and GPUs, enabling distributed training and significantly boosting resource utilization and task execution efficiency.

Scenario Data Preparation

The Quzhi data annotation platform comes with built-in data annotation tools to help users clean and label scenario-based data. The platform offers a variety of annotation methods and supports team collaboration as well as version control, ensuring both data quality and preparation efficiency.

Foundation LLM Selection

The Quzhi Large Model Gateway offers a rich library of pre-trained models, covering a wide range of large model architectures and application scenarios. Users can easily select the model that best suits their needs, review performance metrics, and quickly invoke or fine-tune the models to meet specific requirements.

Scenario Model Training

The curved-ruler model training pipeline manages fine-tuning tasks through a fine-tuning script, supporting hyperparameter optimization and training monitoring. The platform offers a variety of optimization algorithms that automatically adjust parameters, enhancing the performance of scenario models while significantly reducing the training cycle.

Agent Development

The agent orchestration tool provides a visual interface, making it easy for users to develop and configure agents. The platform supports modular design, integrating components such as sensors and actuators to accelerate the realization of agent functionalities.

Software Development Integration

Quzhi Software Factory streamlines integration testing and deployment processes while providing an automated toolchain. The platform supports standardized component testing and automatic documentation generation, ensuring a seamless, efficient integration process with a user-friendly interface.

Terminal Application Deployment

The Curve Platform supports seamless deployment from the cloud to the edge, offering model compression and optimization tools. Users can easily deploy agents to their target devices, enabling efficient and stable operation of edge applications.

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