Zhispu QingyanLatest version

Introduction to the Zhipu Qingyan APP

Zhipu Qingyan is a generative AI assistant developed by Beijing Zhipu Huazhang Technology Co., Ltd.; it is built on large bilingual models from the GLM series. This assistant understands objectives in an agent-based manner, plans the necessary steps, invokes relevant tools, and delivers results, and it can be used in various scenarios such as scientific research and learning, workplace tasks, content creation, software development, and data analysis.

Main functions of the Zhipu Qingyan app

• Automatic task planning:After the user describes the goal in natural language, the application can identify the intention, break down the tasks, and plan out the executable steps. It is suitable for complex tasks that require continuous progress, such as travel itineraries, event plans, and industry research.
• Tool invocation and result delivery:It enables online searching for real-time information, querying and organizing data, creating charts, writing and running code, as well as reading, analyzing, and exporting files, thus transforming simple textual responses into usable task outcomes.
• Multi-step collaboration and self-checking:When dealing with tasks that involve long processes, it is possible to carry them out in stages: first conduct research, then create an outline, write the content, refine it, and verify it; adjustments can be made further based on user feedback.
• AgentMore: Multi-agent collaboration:It enables the organization of multiple AI experts to work together on the same project; partners, topics, and chat groups can be created to allow intelligent agents with different capabilities to collaborate on complex tasks.
• Assistance with academic papers:It covers information retrieval, literature organization, data processing, development of paper frameworks, and academic writing, helping researchers and students navigate the process from research preparation to the refinement of the final manuscript.
• Web and application development:Generate modular code based on requirements, optimize page structure and interaction logic, check for performance and compatibility issues, and assist with test cases, SQL, regular expressions, and structured data processing.
• Data analysis:It can handle multi-source data cleaning, feature extraction, and model selection; it generates analysis results and visual charts, identifies key clusters and causal relationships, and provides decision-making recommendations.
• Financial Research:It aggregates financial and industry information to support financial data analysis, chart creation, and the development of research frameworks, resulting in industry analysis materials with clear highlights.
• Study partner:It offers study plans, explanations of exercises, language editing, essay outlines, and professional guidance, while also providing project-based content to support continuous learning and practice.
• Writing and workplace efficiency:It supports media articles, promotional copy, creative stories, PPT outlines, work summaries, resume refinement, interview preparation, project reviews, SWOT analyses, and the compilation of key points from contracts.
• Multimodal understanding and creation:It supports the understanding and analysis of images, videos, and other content, and offers creative capabilities such as AI-generated art, which facilitate the quick conversion of textual ideas into visual content.