DeepZang AI Model Aims to Advance Tibetan Language Technologies

Developers of DeepZang, China's first Tibetan AI model, have committed to accelerating updates aimed at promoting ethnic integration and improving multilingual translation.

Hohhot Seminar and Participants

Representatives from research institutes, universities, and businesses gathered at a seminar held in Hohhot, in northern China's Inner Mongolia autonomous region. The meeting addressed the improvement of Tibetan artificial intelligence technologies and the expansion of multilingual simultaneous translation fields.

Statements by the Model's Founder

Tenzin Norbu, the founder of the model, stated that they will continuously improve Tibetan AI technologies and advance their practical use. Norbu emphasized that technological innovation should support the integration of ethnic interaction and contribute to digital development in minority regions.

Technical Data and Features

DeepZang was trained on approximately 70 million Tibetan texts and over 30,500 hours of audio data, covering the three main dialects of the language. The model supports AI chat, real-time translation, and speech-to-text conversion features in Tibetan, Chinese, and English.

Future Plans and Areas of Use

Future plans for integrating the DeepZang model into sectors such as public services, education, healthcare, and local government were detailed at the seminar. The developers stated that the technology will strengthen the digital transmission of traditional Tibetan culture.