Platform introduction:
智谱清言Is for "domestic individual users The "full-scene AI simplification hub" created by (creators, professionals, students), educational and scientific research institutions, corporate teams, and developers "solves four types of AI application pain points: Poor Chinese adaptation : Overseas AI to Chinese semantic (such as ancient poems, dialects, workplace speech) Insufficient understanding and blunt answers; Multimodal dispersion : AI drawing, video generation, and code assistance need to span multiple tools, making the operation cumbersome;* The customization threshold is high : Enterprises/individuals need professional development to have exclusive AI assistants, which costs more than 10,000 yuan; High deployment costs : Large AI models require professional servers, which is difficult for individuals and small and medium-sized teams to bear; Restricted commercial use : Most AI tools require high fees for commercial use, and open source models have limited functions.
Its core logic is to "reconstruct the AI application process with 'Chinese optimization + low threshold'": no need to worry about language adaptation, and the GLM model deeply optimizes Chinese scenarios; no need to switch across tools," text-image-video-code "can be completed in one stop; no professional development is required, and the agent can be customized by text configuration; Without high costs, core functions are free and open-source consumer-grade graphics cards can be deployed, allowing "AI assistants" to shift from "professional exclusive" to "daily tools accessible to everyone", adapting to all levels from personal learning to enterprise-level applications. demand.
Core functions:
1. Core: Five full-scenario AI capabilities
(1) Multi-scene content generation: covering all needs of creation, workplace and life
Solve the problem of "slow content output and insufficient professionalism" and adapt to high-frequency scenarios:
- Creative Creation : Support the generation of advertising copywriting, paper frameworks, novel verses, and Short Video scripts. For example, if you enter "Write a copy of Anta's three-point rain basketball shoes and small red books, use emoji more", AI will automatically generate "naturalized + stylized" content. A blogger uses this function to take 3 notes a day, increasing the interaction rate by 25%;
- Code assistance : Generate Python, SQL, Java and other code, support code corrections and comment additions. Developers use it to solve "syntax errors" and "logic optimization", improving efficiency by 40%;
- Workplace assistance : Optimize resumes, generate SWOT analysis, and write meeting minutes. Professionals use it to convert "3-hour meeting recordings" into structured minutes, saving 2 hours of finishing time;
- Life services : Plan travel routes, provide financial advice, and translate into multiple languages (seamless switching between Chinese and English). Students use it to translate "English documents" and generate interpretations, improving learning efficiency by 30%.
(2) Multimodal interaction: full-form creation from text to video
Solve the problem of "scattered multimodal tools and high creative barriers" and cover visual-auditory needs:
- AI drawing : Enter text descriptions (such as "The ancient poem 'Desert Smoke Straight' with pictures, national style ink and ink style"), generate high-definition images, support multiple rounds of adjustments (such as "increasing the number of camels"), and designers use it It quickly generates a first draft of a LOGO, improving proposal efficiency by 50%;
- Video generation (clear film function): Support "Wensheng videos"(such as "science fiction short films based on the plot of" The Wandering Earth "") and "graphic videos"(static illustrations converted into dynamic animations), and the generated videos support 1080P output, which is used by self-media to create "animated stories" without editing skills;
- Video calling : The world's first AI assistant that supports "text-audio-video" multimodal interaction. It can conduct real-time video conversations with AI (such as simulated interviews, foreign language exercises). Educational institutions use it to create "AI foreign teachers", increasing the frequency of students 'oral practice by 60%;
- File processing : Supports the upload of PDF/Excel/PPT and other files. AI automatically extracts information and generates analytical reports (such as Excel data generation line charts, PDF document summaries). Corporate finance uses it to quickly process "monthly reports", improving efficiency by 50%.
(3) Agent customization: zero-code creates exclusive AI assistant
Solve the problem of "high threshold and high cost for customized assistants" and adapt to personalized needs:
- Agent market : Provides ready-made agents such as "logo painter, translation assistant, procurement consultation, and programmer assistant", which can be used directly by users. An e-commerce operation uses "logo painter" to generate 3 brand logos without outsourcing;
- Custom agent : zero-code configuration, you only need to describe the role in words (such as "Little Red Book Copywriting Assistant, use emoji at the beginning of the sentence") and upload the knowledge base (Word/PDF/URL) to generate a dedicated assistant; Support checking "Networking Capabilities, AI Painting, Coding Capabilities", a company uses it to upload "Procurement System Documents" to create a "Procurement Consulting Agent", and the employee consultation response time is reduced from 1 hour to 10 seconds;
- Knowledge base management : Supports uploading 100+ files (100MB per single), 10 URLs, and a total number of words ≤ 5 million words (free version). AI can answer precise questions based on the knowledge base (such as "Consulting Company Attendance System") to avoid "answering the wrong question".
(4) Open source and deployment: a developer-friendly and flexible ecosystem
To solve the problem of "difficult deployment of large models and limited secondary development", adapt the technical team:
- The open source version of ChatGLM-6B supports "local deployment"(Windows/macOS/Linux), and INT4 requires only 6GB of video memory for quantification (consumer-grade graphics cards such as RTX3060); supports P-Tuning v2 efficient fine-tuning, so developers can customize "industry assistants"(such as medical consulting, financial analysis) based on them. A scientific research team used it to develop "Ancient Book Optical Character Recognition AI" at a cost 80% lower than commercial APIs.
(5) All Tools ability: Automatically call tools to complete complex tasks
Solve the problem of "complex requirements require manual step-by-step operations" and adapt to high-level scenarios:
- GLM-4 All Tools can automatically understand user intentions and call tools such as "web browsing, code interpreter, cultural graphics, and mind map generation", such as inputting "Analyze the scale of China AI market in 2025, generate line charts and summarize trends." AI automatically "check data online-use code to generate charts-write analytical reports" without manual user operation. Enterprise analysts use this function to shorten the "one-day reporting work" to 30 minutes.
Applicable population and scenario value
(1) Individual users (creators/professionals/students)
- Core requirements : Improve content output efficiency, solve professional problems (such as code/papers), and reduce learning costs;
- Core functions : Multi-scene content generation, basic multimodal, free agent;
- Scenario value : Students use it to summarize "postgraduate political knowledge points", and memory efficiency is increased by 30%; professionals use it to optimize resumes, and interview invitation rates are increased by 20%.
(2) Educational and scientific research institutions
- Core requirements : Assisted teaching (such as AI foreign teachers), scientific research data analysis, and literature interpretation;
- Core functions : video calling, file processing, code interpreter;
- Scenario value : Universities use it to create "AI answering assistants". After uploading "Course PPT", students can consult knowledge points 24 hours a day, and teachers 'answering pressure is reduced by 50%.
(3) Enterprise team
- Core requirements : Customize dedicated assistants (such as customer service/procurement consultation), batch content generation (marketing copy), and reduce development costs;
- Core functions : Agent customization, API call, privatization deployment;
- Scenario value : An e-commerce company uses it to customize a "customer service agent". After uploading the "product manual", it automatically answers user inquiries, reducing customer service labor costs by 30%.
(4) Developer/technical team
- Core requirements : secondary development, local deployment, low-cost trial;
- Core functions : open source ChatGLM-6B, API interface, efficient fine-tuning;
- Scenario value : A startup company used the open source version to develop an "Industry AI Assistant" to avoid million-level development costs and achieve product implementation in 3 months.
Unique advantages (compared to similar AI tools)
- Chinese scene benchmark : The GLM model is trained based on 1T Chinese and English bilingual data, and its understanding accuracy of Chinese semantics (ancient poems, workplace speech, dialects) exceeds that of overseas AI, such as "understanding online terms such as 'fishing' and 'inner volume'"and" accurately generating seven-character regular poems ";
- Low threshold covers all users : Individual users can use core functions for free, developer consumer-grade graphics cards can deploy open source versions, enterprise API call costs are low, and there is no trap of "paying high prices after trial";
- Leading in multi-modal : The first batch of AI assistants in China to support full-modal "text-image-video-video calling", leading the industry in "Qingying" video generation and real-time video interaction functions;
- Agent zero-code customization : No programming, text description + knowledge base upload can create a dedicated assistant, and the cost is 90% lower than traditional development;
- The open source ecosystem is complete : ChatGLM-6B is open source and free for commercial use, downloaded 13 million times worldwide. The community provides a large number of fine-tuning tutorials and secondary development cases, making it easy for developers to get started.
precautions
- Knowledge base security : It is strictly prohibited to include confidential information and personal privacy (such as ID cards and trade secrets) when uploading files. Public network agents may be accessed by other users. It is recommended to choose privatization and deployment for sensitive content;
- Content verification : AI generated content (such as news and paper data) may have deviations, and the authenticity needs to be manually verified to avoid direct citations;
- Open source version limitations : ChatGLM-6B has fewer parameters (6.2 billion), and it is recommended to use the web-side GLM-4 model for complex tasks (such as long video generation and deep logical reasoning);
- API charging rules : The free version does not include API calls. Enterprises need to contact sales to obtain quotations to avoid excessive use and causing high fees;
- Commercial authorization : The free version can be used for personal commerce (such as monetization from media). For corporate commerce, the "API authorization scope" needs to be confirmed. The open source version can be commercialized for free after registration to avoid infringement.
Disclaimer: Tool information is based on public sources for reference only. Use of third-party tools is at your own risk. See full disclaimer for details.