What is GLM-Realtime
GLM-Realtime is a new end-to-end multimodal model launched by Zhipu, featuring low-latency video understanding and voice interaction capabilities, and notably incorporating a cappella singing functionality, enabling the large model to showcase singing talent during conversations. The model supports up to 2 minutes of content memory as well as Function Call functionality, allowing flexible invocation of external knowledge and tools to expand its range of applications. The GLM-Realtime API is now availableZhipu Open Platform, and at this stage can be called for free, providing an intelligent foundation for the development of AI hardware and helping developers achieve application innovation.
Main features of GLM-Realtime
- Low-latency interaction: Achieves low-latency video understanding and voice interaction, giving users a nearly real-time response during use and improving the interaction experience.
- 2-minute content memory: In scenarios such as video calls, it has up to 2 minutes of content memory capability, enabling it to better understand and grasp the context of the conversation, making interactions more coherent and natural.
- Real-time interruption capability: Human users can interrupt the AI's speech at any time, and the AI can respond to such interruptions promptly, adjusting subsequent replies or behavior.
- A cappella singing functionality:Innovatively implements a cappella singing functionality, giving the large model the ability to sing during conversations.
- Function Call functionality: Supports flexible invocation of external knowledge and tools, combining more resources and functions to expand into a broader range of commercial scenarios.
- Video interaction: Based on the camera of a mobile phone or AIPC (Artificial Intelligence Personal Computer), the AI can conduct video interaction with users.
GLM-Realtime project address
- Project official website：BigModel
Application scenarios of GLM-Realtime
- Smart education: In online education platforms, it provides personalized learning tutoring for students based on video and voice interaction, answers questions in real time, and improves learning outcomes.
- Smart customer service: In enterprise customer service, it serves as a video customer service assistant, interacting with customers in real time based on video and voice, quickly and accurately answering questions, and improving customer satisfaction.
- Entertainment interaction: In the virtual idol field, it gives virtual idols vivid interaction capabilities, interacting with fans through video and voice, enhancing fans' sense of participation and stickiness.
- Smart home control: In smart home systems, it uses voice commands and video understanding to achieve linked control of smart home devices, improving the convenience and comfort of home life.
- Medical and health consultation: In the telemedicine field, it assists doctors with remote consultations, uses video to observe patients' symptoms, and provides diagnostic suggestions combined with voice descriptions, improving the accessibility of medical services.