

GLM 4 Plus
Overview :
GLM-4-Plus is a foundational large model launched by Zhiyu, representing a comprehensive enhancement in language understanding, instruction following, and long-text processing, maintaining an internationally leading level of performance. This launch not only signifies China's innovation and breakthroughs in the large model domain but also provides developers and enterprises with powerful language processing capabilities, further advancing the development and application of artificial intelligence technologies.
Target Users :
The GLM-4-Plus model is ideal for developers and enterprises that require complex language processing, such as in natural language processing, text analysis, and content recommendation. Its powerful performance can help users enhance work efficiency and optimize product services.
Use Cases
Developers use the GLM-4-Plus model to create intelligent customer service systems, improving customer service efficiency.
Enterprises leverage the GLM-4V-Plus model for video content analysis, optimizing video recommendation algorithms.
Educational institutions employ the GLM-4-Plus for semantic analysis of teaching materials, enhancing teaching effectiveness.
Features
Language Understanding: GLM-4-Plus can deeply comprehend natural language, providing accurate semantic analysis.
Instruction Following: The model can accurately execute user instructions, achieving a high level of interactivity.
Long-Text Processing: It processes large volumes of text data efficiently for information extraction and analysis.
Image/Video Understanding: The GLM-4V-Plus model features excellent capabilities in understanding images and videos.
Time Awareness: The GLM-4V-Plus is capable of analyzing video content based on temporal aspects.
API Access: Developers can quickly integrate the GLM-4-Plus model through API calls.
How to Use
1. Visit the Zhiyu Big Model Open Platform at bigmodel.cn.
2. Register and log in to your account to obtain API access rights.
3. Refer to the documentation provided on the platform to understand the features and usage of the GLM-4-Plus model.
4. Write code to integrate the GLM-4-Plus model API into your project.
5. Conduct testing to ensure the model API is compatible with your project and is functioning correctly.
6. Adjust parameters as needed to optimize model performance.
7. Deploy your application to offer services based on the GLM-4-Plus model to users.
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