On July 8, during HUAWEI Developer Conference 2023 (Cloud), HUAWEI CLOUD held the summit forum "Pangu Model, Born for the Industry". At the summit, You Peng, Director of Huawei Cloud Service Product Dept, Tian Qi, Chief Scientist of HUAWEI CLOUD Artificial Intelligence Field, and other guests from different industries such as finance, mining, medicine, cross-border e-commerce, and logistics, interpreted the Pangu model from technology to scenario, and explored the practice of the industry.
Pangu large model, every step counts
Tian Qi said: "The Pangu big model is a collective term for a series of large models, including five basic models: CV, NLP, multimodal, prediction and scientific computing. HUAWEI CLOUD released Pangu Big Model 3.0 builds a hierarchical decoupling architecture based on general models, allowing large models to be better applied to various industries. In addition to the released industry models, HUAWEI CLOUD is also conducting cutting-edge research in multi-modality, search, and embodied intelligence, and continues to explore the sea of stars of artificial intelligence. ”
Tian Qi, Chief Scientist of HUAWEI CLOUD Artificial Intelligence, delivered a keynote speech
Pangu Big Model: Equipping Industry AI with Running "Wheels"
As a general-purpose AI pre-training model, the HUAWEI CLOUD Pangu model can be widely used in various industries and fields to provide intelligent solutions. HUAWEI CLOUD implements the AI for industries concept, and after releasing large models such as mining, pharmaceutical molecules, railways, meteorology, and ocean waves, the developer conference released large models for finance, government affairs, manufacturing, and other industries, accelerating the digitalization process of all walks of life.
Xu Jali, Deputy Director of the Informatization Center of Shandong Energy Group, delivered a keynote speech entitled "Shandong Energy Group Joins Forces with Huawei Cloud Pangu Model to Accelerate the Construction of Intelligent Mines". Based on HUAWEI CLOUD Stack, Shandong Energy Group built the central cloud of the group, introduced the HUAWEI CLOUD Pangu Mine Model, and built an artificial intelligence training center to realize the "industrial" development of Al applications, which not only shortened the development cycle of the AI model from 6 months to 1 month, but also improved the recognition accuracy in measured scenarios by 20%. At the same time, the workload of data sample labeling has been reduced by more than 80%, saving a lot of human resources.
In the future, Shandong Energy will continue to explore with HUAWEI CLOUD to continuously improve intelligent production efficiency and operation level based on the Pangu model, and will hold the first commercial conference of the Pangu Mine model on July 18.
Xu Jali, Deputy Director of Shandong Energy Group Informatization Center, delivered a keynote speech
Liu Yu, Director of Information Technology Department of GF Securities, delivered a keynote speech on "Application Exploration of Pangu Model in Enterprise Financial Intelligent Early Warning". Through the efficient model fusion algorithm and small sample learning ability, the prediction accuracy is greatly improved, and the accuracy rate of financial abnormality recognition of GF Securities enterprises is as high as 90%, and 4 major types of financial abnormalities, 160+ subcategories of early warning signals, 6 major fraud motives, 10+ common fraud methods, etc., are effectively identified, and the financial risks of enterprises are more comprehensive, accurate and meticulous.
Liu Yu, Director of Information Technology Department of GF Securities, delivered a keynote speech
At the meeting, HUAWEI CLOUD also introduced the Pangu NLP model. HUAWEI CLOUD Pangu NLP big model has been comprehensively upgraded, not only learning a large amount of industry knowledge and industry data, but also providing a large model development kit that provides three workflows: self-supervised training, supervised SFT training, and reinforcement learning training that condense the practical experience of Huawei large model experts, streamlining, standardizing, and simplifying the complex large model development process, helping industry users start with one click and achieve one-stop development.
In addition, this Pangu Model Summit Forum also invited a number of customers and industry experts to share. Liu Zhenyu, medical director of Runda, delivered a keynote speech on "Big Model Opens the Best Era of Medical Care", saying that the implementation of Pangu NLP large model in the medical industry allows doctors to provide more efficient health management services for patients; Emotibot, demonstrated by Jian Renxian, CEO of Bamboo Intelligence, lowers the threshold for large model training, allowing every ordinary person to have their own exclusive AI assistant; Zhao Yuntao, Vice President of G7 Yiliu, said that G7 Yiliu and HUAWEI CLOUD will combine the Pangu model with G7 Yiliu's IoT and SaaS service data to create intelligent assistants for the logistics industry, give full play to the advantages of both parties, and empower the smart logistics industry to flourish. Mao Hongbo, CTO of GKIN, said that through cooperation with HUAWEI CLOUD Pangu Grand Model, product copy and advertising creativity are intelligently generated, making cross-border e-commerce business better. Xu Gang, President of Montnets Technology, mentioned in his keynote speech on "A New Generation of AI Empowerment to Drive Message Communication Service Innovation" that by combining with Pangu Grand Model capabilities, messaging products will be more intelligent and convenient.
Group photo of speakers at the Pangu Summit Forum
Born for "industry", Pangu empowers more users
The industrial transformation triggered by artificial intelligence is changing every industry, and artificial intelligence is also playing an important role in more and more industry scenarios. HUAWEI CLOUD focuses on AI for industries to improve the general capabilities of large models, meet the real-world needs of customer service scenarios, standardize, replicate, and mass produce AI development, accelerate the penetration of AI into thousands of industries, and promote human society into the intelligent world.
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