What is Xingchen Large Model
Xingchen Large Model is an AI large model collection platform launched by China Telecom, covering multimodal fields such as semantics, vision, and speech. It includes models of different parameter scales, supports long text processing, and has multilingual speech recognition and multitask visual processing capabilities. The platform is characterized by open source and technological innovation, promoting the application of AI technology in various industries.
Models included in Xingchen Large Model
- Xingchen Semantic Model
- The Xingchen Semantic Model is a large language model developed by the China Telecom AI Research Institute, trained on domestic computing power, using 1.5 trillion tokens of high-quality Chinese and English corpus. The model has significant performance on general question answering, knowledge-based, code-based, and math-based tasks, supports long text processing and multi-turn dialogue, has functions such as text generation and multilingual support, and provides weight files in multiple formats and for multiple platforms for convenient deployment and use.
- GitHub repository：https://github.com/Tele-AI/TeleChat2
- Xingchen Speech Large Model
- The Xingchen Speech Large Model is a speech recognition large model launched by the China Telecom AI Research Institute that supports mixed speech in as many as 40 dialects. It can recognize and understand multiple dialects including Cantonese, Shanghainese, Sichuanese, and Wenzhou dialect, and introduces English recognition capability. Based on ultra-large-scale speech pretraining and joint modeling of multiple dialects, the Xingchen Speech Large Model enables a single model to support speech recognition of freely mixed speech in multiple dialects.
- GitHub repository：https://github.com/Tele-AI/TeleSpeech-ASR
- Xingchen Multimodal Large Model
- The Xingchen Speech Multimodal Large Model is launched by the China Telecom AI Research Institute and mainly focuses on improving image-text generation and image-text understanding capabilities. The model is trained on more than 1.2 billion data items of various styles, supports nearly 20 painting styles, improves Chinese imagery understanding and generation capability by 30%, and improves semantic fine-grained generation effect by 25%.
Main functions of Xingchen Large Model
- AI Writing: Provides article writing services; users enter a title, and the platform will generate a related article.
- AI Image Creation: Creates images according to user needs, including holiday themes, historical figures, anime characters, and more.
- AI Music Creation: Generates music works to meet music needs in different scenarios.
- AI Video Creation: Produces video content, possibly including editing, special effects, and other video production services.
- AI Portrait: Generates portrait images, possibly including people, landscapes, and more.
- AI Speech Transcription: Converts speech information into text, suitable for scenarios such as meeting minutes and interviews.
How to use Xingchen Large Model
- Register and log in: Visit theofficial websiteof the Xingchen Large Model platform. Create an account or log in with an existing account.
- Learn about the services: Browse the various AI services and functions provided by the platform. Read the description and use cases of each service to understand what they can do.
- Choose a service: Select one or more AI services according to your needs, such as AI writing, image creation, and more.
- Enter requirements: Enter specific requirements in the selected service. For example, if you choose AI writing, you need to enter the article title, keywords, or outline.
- Generate content: After submitting the requirements, the platform uses the large model to generate content. Depending on your needs, you may need to wait for a period of time for the platform to process the request.
- Review and adjust: Review the AI-generated content to see if it meets the requirements. If necessary, adjust or regenerate the generated content.
- Download and use: If satisfied with the generated content, download and use the content.
Application scenarios of Xingchen large model
- Intelligent customer service: Use the semantic understanding capability of Xingchen large model to develop an intelligent customer service system, providing automated customer consultation and problem-solving services.
- Content moderation: The text analysis capability of Xingchen large model automatically moderates online content, identifying and filtering inappropriate content.
- Intelligent writing: Xingchen large model assists content creation by providing services such as writing suggestions, text generation, and content optimization.
- Speech recognition and synthesis: In the field of voice interaction, Xingchen large model can perform speech recognition and speech synthesis, improving the interaction experience of voice assistants and smart devices.
- Image recognition and analysis: The visual capability of Xingchen large model is used in image recognition, object detection, scene understanding, etc., serving fields such as security monitoring and medical image analysis.