NetEase Fuxi Danqing Model was successfully selected into the 2023 Love Analysis Large Model 'Bright Stars' Top List

On January 9, 2024, Beijing successfully held the Love Analysis·AI and Large Model Summit Forum with the theme of "Intelligent Emergence Value Renewal". On the forum, the top list of large models "Bright Stars" was released. After layers of collection and selection by iAnalysis and authoritative scientific research institutions, NetEase Fuxi Danqing model was finally successfully listed, demonstrating its unique value.

The Large Model "Bright Stars" Top List is the first comprehensive evaluation series list in the field of large models, aiming to select technology manufacturers with outstanding comprehensive strength in the field of large models . The purpose of this list is to help corporate users comprehensively understand the strength level of major domestic technology manufacturers in the field of large models, and to provide decision-making basis and support for the entire industry to select ecological partners and select excellent investment targets. Different from the traditional large model list, this list focuses on the comprehensive strength of the selected manufacturers, not just the model running performance. In addition, the list also highlights the actual implementation results, not just the model release stage.

NetEase Fuxi Danqing model is the result of research and development based on the ultra-large-scale pre-training cloud platform project of the Zhejiang Provincial Key Research and Development Plan. Starting in 2022, the model will rely on NetEase's self-built Chinese data for training, and use a large-scale vector engine and self-developed Chinese image and text understanding technology. The training data undergoes strict text and image review to ensure that the data source is compliant and the generated content is compliant. At the same time, the model has been comprehensively optimized and upgraded in terms of semantics, aesthetics, and humanities to meet the needs of Chinese users. Through these optimizations and upgrades, NetEase Fuxi Danqing model has strong Chinese understanding capabilities and can create works that are more in line with Chinese aesthetics. This enables the model to better meet user needs and provide users with a better content experience. The development of NetEase Fuxi Danqing model aims to integrate advanced technology and Chinese aesthetics to provide users with unique and personalized creative works.

NetEase Fuxi Danqing model is a 100% domestically produced large model, which has obvious advantages compared with similar competing products. Currently, the Danqing model has one billion, three billion, and ten billion parameter versions, and supports more than 6 secondary domain model capabilities. It can adapt to learning and significantly reduce its dependence on computing power and data, thereby effectively improving the efficiency of downstream business adaptation and implementation. As a representative of new technologies and new applications for national professional compliance, NetEase Fuxi Danqing Model’s inclusion in the “Bright Stars” Top List not only affirms its strength in the application of large models, but also highlights NetEase Fuxi’s outstanding innovation in the industry strength and leadership.

With the continuous innovation and iteration of large model technology, we can foresee that large models will enter people's daily lives and various industrial fields faster in the future, having an important impact on human work and quality of life. As a domestic artificial intelligence institution focusing on the research and application of AI technology in games and the Metaverse, NetEase Fuxi will regard this ranking as a new starting point, continue to delve into AI technology research, and continue to explore the application of large model technology in various application scenarios. Application path. We will strengthen exploration and research in many aspects such as large model technology upgrading, practical implementation and industrial application, and contribute to the innovation and development of digitalization and large models.

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