tsan.ai has released a major update to its tsanCenter low-code development platform. tsanCenter now connects to several well-known, mature large AI models, including Baidu's Qianfan (ERNIE), Zhongke Yayi and Tencent Hunyuan, making many of its products and solutions more intelligent and giving users a more efficient, convenient and high-quality way to work. Together with tsan.ai's own large model, this takes its product and solution matrix a step further in intelligence.
Digital media: content from an AI assistant
By connecting mature large AI models, tsan.ai's product matrix has been upgraded across the board. The AI assistant in the story management of its digital media solution is a typical example. Users can now switch freely between Qianfan, Yayi and Hunyuan AI assistants and interact with them in natural language to help produce copy, making publicity materials faster to produce and better in quality, and greatly improving the efficiency of communication and marketing.
AI task processing system: greater efficiency
tsan.ai's AI task processing system is a leading technical tool that uses tsan.ai's own large model for natural language, text, image and video processing. It improves performance in content creation, content review and many other kinds of work across industries while lowering labor costs, with the potential to bring significant economic benefits to businesses and institutions — an essential requirement for growth in a future of vast amounts of information.
The large-model tools are now connected to many products and solutions — digital media, digital education, digital culture, digital villages, the industrial internet and more — bringing new technological momentum to the industries that use them. These important upgrades further strengthen tsan.ai's position in the digital field, helping businesses respond faster to changes in markets and needs and giving every industry more complete, professional digital transformation solutions.
AI model management: strengthening innovation
tsan.ai's AI agents combine advanced large-model management into an efficient, flexible solution for businesses. In the agent system, users can create and train their own dedicated models to suit their business, and switch and configure models in one click. The system supports three modes — "chat", "dialogue model" and "default reply" — for different business scenarios, strengthening businesses' ability to innovate and respond to the market.
AI agent orchestration: meeting specific business needs
tsan.ai's agent orchestration module uses custom tools to connect many data sources and plugins with different functions, giving large models more information and capabilities. As an efficient development framework, it greatly raises developers' productivity. Developers can use existing resources directly or customize them for specific business needs, with full support across the development lifecycle of large-model applications.
Dataset management: reliable, usable data
tsan.ai's agents provide a complete solution for data management, ensuring data is reliable and usable. Main functions include:
- Data version control: every dataset version is traceable, for easy management and auditing.
- Data storage: secure, efficient storage that keeps data durable.
- Data import: many import methods, making it easy to bring together data from different sources.
- Data search: powerful search that helps users find the data they need quickly.
- Data derivation: tools to generate new datasets from existing data, supporting deeper analysis and model training.
AI model training: efficient, flexible training management
The agents' training management makes AI model training more efficient and flexible. Users can submit training jobs and set priorities for each model. After training, the system can tune model parameters and deploy automatically, greatly speeding up model launch, helping businesses respond quickly to market changes and improving model performance.
Private model repository: protecting core technology, supporting teamwork
The agents' private model repository offers a high degree of security and flexibility. Businesses can connect and use private models across different systems, keeping core technology and data secure. The repository supports collaboration between users and teams, simplifies sharing and managing models, raises overall efficiency and encourages technical exchange and innovation within the business.
System log management: keeping the system stable and secure
tsan.ai's agents provide detailed system log management to help businesses monitor and analyze how their systems run. Main functions include:
- Conversation logs: records every user interaction for later analysis and improvement.
- Conversation library: saves all conversations, searchable by question and time.
Parameter display: shows the parameters of every conversation and model call in detail, helping technical teams improve model performance.