
In today’s digital wave, AI technology is penetrating various industries at an unprecedented speed. However, complex development processes and high technical thresholds have deterred many enterprises and individuals. To address this pain point, Ant Group has launched Baibaoxiang Tbox, a truly zero-code AI native application development platform.
Zero-Code Development
Users can quickly build AI applications through natural language without writing code, lowering the development threshold.
Multiple Intelligent Agent Types
Supports various types of intelligent agents, including conversational, text-based, text-to-image, image-to-image, and workflows, meeting diverse needs.
Integration of Mainstream Large Models
The platform integrates mainstream AI large models like Tongyi Qianwen and Moon’s Dark Side, allowing users to choose suitable models based on their needs.
Application Marketplace and Cloning Function
Users can experience various recommended applications in the application marketplace and clone these applications to customize their own AI applications.
One-Click Publishing
After creation, users can publish applications to multiple platforms such as Alipay Mini Programs, Baibaoxiang Tbox Application Marketplace, and Web applications with one click, achieving multi-terminal distribution.
Knowledge Base and Model Training
Provides a knowledge base function, facilitating users to manage and store data. Additionally, it supports image model training, allowing users to upload datasets and use AI to automatically optimize models.
Zero-Threshold Development
No programming knowledge is required; users can quickly build AI applications through natural language, lowering the development threshold.
Efficient Iteration
Provides a visual process editor, allowing users to drag and adjust AI decision nodes, API interfaces, and data filters, achieving rapid iteration and optimization of applications.
Multi-Terminal Distribution
Supports one-click publishing to multiple platforms, achieving wide coverage and efficient distribution of applications.
Rich Model Support
Integrates various mainstream AI large models, allowing users to flexibly choose according to their needs, meeting the requirements of different application scenarios.
Personalized Customization
Users can customize the personality traits, language style, etc., of AI applications as needed, creating AI products with personalized characteristics.
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