Tsinghua Zhipu Qingyan Operational

Tsinghua Zhipu Qingyan is positioned as a China-developed generative AI assistant for individual and enterprise users who need information retrieval, text processing, and intelligent assistance. Based on the ChatGLM family of large language models, the product supports Chinese and English interactions and covers tasks involving text, multimedia, and code.

Users can submit requests through the conversation interface or use dedicated capabilities for tasks such as writing, document processing, programming, and agents.

The product supports multi-turn intelligent conversations, article and report writing, PPT outlines, and advertising copy generation. It can also parse, summarize, and answer questions about uploaded documents. Features such as text-to-image and text-to-video convert written requests into visual content.

For development tasks, it can assist with code generation, debugging, and testing, as well as organizing technical documentation. Users can also customize agents for relatively fixed professional tasks or personalized workflows.

Professionals can use it to summarize information, review projects, draft materials, and support daily office work. Teachers and students can use it to develop lesson plans, understand documents, and study languages. Programmers can use it for code writing, debugging approaches, and technical explanations.

Content creators can use its article, press release, advertising copy, image, and video creation capabilities for preliminary ideation and material organization. Enterprise users can combine customized agent services with industry knowledge and business support needs.

Some features are provided free of charge to individual users. The currently available features and enterprise customization services should be verified against the product's current page description. For document processing and long-text tasks, users should pay attention to file contents, length, and the actual supported scope.

Generative AI may produce factual errors, omissions, or unsuitable wording. Content involving academic, business, legal, financial, or public-release matters should undergo fact-checking and copyright and privacy review by the user before use.