Shulou(Shulou.com)11/24 Report--

A few days ago, APUS reached a strategic cooperation with big data National Engineering Laboratory of system Computing Technology of Shenzhen University (hereinafter referred to as "National Engineering Laboratory"). The two sides integrate their respective advantages to jointly develop and open source high-performance Chinese multimodal large model Linly-Chinese-LLaMA-2-70B. The model will be more suitable for Chinese service scenarios and is scheduled to be made available to the public on the APUS open source platform, GitHub and Hugging Face open source platform in early 2024.

This cooperation will further promote the further integration of AI technological innovation and domestic scenario applications, the accurate integration of technology supply and demand orientation, the better integration of basic research and applied technical personnel, and the ecological cohesion to stimulate the high-quality and high-speed emergence of AI applications in China, and promote the value of the AI model.

Strengthening Research and Development guarantee of National Engineering Laboratory

The National Engineering Laboratory is a national scientific and technological innovation platform in the field of big data officially approved by the National Development and Reform Commission, and it is an important support for the implementation of the national strategic layout. It undertakes the important mission of aggregating innovation resources and injecting new power into strategic emerging industries.

The National Engineering Laboratory is led by Shenzhen University and built jointly with the National Information Center, Tsinghua University and Tencent Science and Technology. Relying on the resources of universities and joint institutions, it not only has the research foundation of supercomputing, big data platform and analysis, but also has the advantages of application scenario and industrialization ability.

It is worth noting that the National Engineering Laboratory is composed of Chen Guoliang, academician of the Chinese Academy of Sciences, Li Qiang, chief scientist of national key R & D projects, Zhu Zexuan, the first batch of innovative young talents in Guangdong Province, and Shen Linlin, Elsevier's "China highly cited Scholar". Provide important support for this model joint training.

APUS promotes the Integration of Innovation chain and Industry chain

APUS is committed to building AI models for China, with a unique global high-quality corpus and red corpus accumulation in line with Chinese mainstream values; a complete AI industrial framework including surging computing power, advanced algorithms, industry models, refined vertical models, etc.; and rich industrial scenario applications, flexible industrial collaboration capabilities.

Since the release of the hundred billion-level multimodal general artificial intelligence model "APUS Big Model" in April, APUS AI capability has been widely used in B-side, C-side and G-side.

In addition to upgrading its more than 200 mobile applications with AI, APUS also accelerates its capacity to the industry through APUS model, APUS manufacturing model, APUS education model, APUS model, APUS e-commerce model, APUS traffic model, APUS model and other industry models, so as to consolidate the wisdom base for hospital, bus manufacturing, network information, e-commerce and other industrial innovation.

The application of APUS large model capability and AI empowerment has been paid attention to and affirmed by the industry. Recently, it has continuously won a number of AI honors such as the best artificial intelligence enterprise, the most influential artificial intelligence enterprise, and the noteworthy AIGC company in 2023, and has become the director of Shenzhen artificial Intelligence Industry Association.

APUS's AI performance also laid a solid foundation for this cooperation in data, technology, talent and industrial applications. After the completion of the model training, it will help promote the integration of the innovation chain and the industrial chain.

Cooperation drives high-quality development of industry

APUS and the National Engineering Laboratory will tune the large model in terms of thesaurus size, training corpus, Context Length and multimodal capabilities, and strengthen the Chinese ability and image recognition ability from the bottom of the model, so as to create a high-performance multimodal Chinese model that is more in line with the Chinese market and Chinese mainstream values.

This cooperation is an important measure for APUS to deepen and implement the strategy of "customizing the artificial intelligence model for China, actively building the artificial intelligence ecology, and connecting the application of the big model with value creation". APUS will take this opportunity to continue to promote cooperation with an open source and open attitude, promote industrial ecological prosperity, and let the AI model built for China really drive the high-quality development of China's AI industry.

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