Now Shenzhen | July 10, 2023
SHENZHEN-BASED tech giant Huawei on Friday launched the latest version of its Pangu pre-trained deep learning AI model, Pangu 3.0. at the Huawei Cloud Developer Conference held in Dongguan, southern China’s Guangdong Province.
Pangu 3.0 has a three-tier architecture. The foundation layer, L0, has five different models: natural language processing, multimodal databases, computer vision, prediction and scientific computing. L0 provides various skills to meet the needs of different industry scenarios.
The second layer, L1, provides a variety of industry-specific models, focusing on fields such as e-government, finance, manufacturing, mining and meteorology.
The third layer, L2, provides multiple scenario-specific models for particular industry applications or business scenarios.
Customers can also train models using their own datasets based on Huawei’s L0 or L1 Pangu layers.
The Pangu series was created to serve industry needs, providing excellent services to customers in various sectors, said Zhang Ping’an, CEO of Huawei Cloud.
Zhang said that Pangu’s mission is to help customers effectively utilize and build large-scale models, enabling intelligent upgrades.
First launched in 2021, Huawei’s Pangu series is a family of multiple large AI models that support a variety of natural language processing tasks, including text generation, text classification and conversation systems.
Huawei said that the Pangu series has already been of immense value in numerous industries such as finance, manufacturing and pharmaceutical research and development.
On Thursday, a paper on a Pangu weather AI model was published in Nature, one of the world’s top scientific journals. The paper described how to develop a precise and accurate global AI weather forecast system based on deep learning and train it using 43 years of weather data.
In seconds, the model can accurately predict detailed meteorological features, including humidity, wind speed, temperature and sea level pressure, the paper said.
This demonstrates Pangu’s high precision compared with traditional numerical prediction methods for forecasts, which could take anywhere from an hour to a week, and its prediction speed is 10,000 times faster. (Xinhua)
ARTICLE FROM: Shenzhen Daily