Fudan University Releases Open Source ChatGPT-like Model MOSS

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Fudan University’s Natural Language Processing Laboratory recently announced the official launch of the newest version of their open source MOSS model. It is the first conversational language model of its kind to be released in China, and it features a number of plugin enhancements. The MOSS model was developed by Professor Qiu Xipeng’s team, who named it after the AI in the movie “The Wandering Earth”. Anyone can gain access to the code, data, and model parameters of the model from platforms such as Github and Hugging Face.

The MOSS base language model is preloaded with about 700 billion Chinese and English words, and code words. Researchers, companies and individuals are now welcome to participate in the beta testing of MOSS, which offers its users a wide range of Natural Language Processing solutions.

Fudan University is one of the top universities in China. Established in 1905, it is a multi-disciplinary research university recognized for its excellence in research and education, as well as its commitment to a culture of innovation. It has many world-renowned research centres such as the Institute of Quantum Optics, the Institute of Electronic and Optical Engineering, and the Shanghai Centre of Systems Biology and Bioinformatics. The institution also consistently ranked high in international university rankings such as the Times Higher Education and the Academic Ranking of World Universities.

Professor Qiu Xipeng is an esteemed professor at Fudan University, having received several awards and recognition for his work in the field of artificial intelligence. He has published numerous research papers on topics such as intelligent robots and natural language processing. Professor Qiu Xipeng has great contribution to the Chinese artificial intelligence academia, and his team developed MOSS, which is the first conversational language model in China. Not only the model is open source and will benefit the public, but it is also poised to profoundly enhance the user experience of language processing technologies.

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