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In the wave of digitalization, artificial intelligence (AI) technology is evolving rapidly. Zidong Taichu 2.0, jointly developed by the Institute of Automation of the Chinese Academy of Sciences and Wuhan Artificial Intelligence Research Institute, is an all-modal model with a trillion parameters, leading a new trend in intelligent interaction.
Image Capabilities
Supports image description, object detection, image retrieval, image generation, and text recognition, meeting users’ diverse needs in the visual domain.
Language Capabilities
Covers Chinese Q&A, text continuation, text creation, title generation, grammar analysis, machine translation, ancient poetry creation, code understanding and writing, mathematical calculations, and logical reasoning, assisting users in efficiently handling various language tasks.
Video Capabilities
Provides video description, video retrieval, and video Q&A services, helping users deeply understand and process video content.
Music Capabilities
Possesses music generation and music multimodal Q&A functions, meeting users’ needs in music creation and understanding.
Audio Capabilities
Supports audio authentication, audio event classification, speech recognition, and speech synthesis, enhancing the convenience and accuracy of audio processing.
3D Capabilities
Has 3D scene understanding and object perception capabilities based on point cloud data, offering users a new three-dimensional interactive experience.
Signal Capabilities
Supports radar signal identification and knowledge interaction, helping users quickly grasp the basic sources and parameters of signals.
All-Modal Support
From text to images, and then to audio and 3D, Zidong Taichu 2.0 achieves full-modal coverage, meeting users’ diverse needs.
Powerful Cognitive and Creative Abilities
The trillion-parameter model performs excellently in understanding and generation, providing high-quality outputs.
User-Friendly Interactive Experience
The simple and intuitive interface design allows users to get started easily and enjoy a smooth interactive process.
Relevant Navigation
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