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These included the DaWatt - Lao Language Large Language Model (LLM) for the Energy and Power Sector V2.0 and the Flexible Grayscale Intelligent Monitoring & Analysis Platform for power system cybersecurity, highlighting expanding opportunities for cooperation in digitalization, intelligent technologies and green energy.

Bahe Wind Farm in Tiandeng County, Guangxi, where wind turbines stand amid the region
Bahe Wind Farm in Tiandeng County, Guangxi, where wind turbines stand amid the region's distinctive karst landscape.

The Lao-language LLM has been deployed at Electricité du Laos Transmission Company Limited (EDL-T), where it can automatically analyze thousands of inspection images within a short period of time. After its algorithms were optimized for Laos' mountainous and rainforest terrain, the model completed intelligent inspection analysis for four transmission lines, processing 26,000 drone inspection images and identifying more than 3,600 equipment defects.

Baise Power Supply Bureau of Guangxi Power Grid uses drones and robots to conduct live-line inspections of insulators.
Baise Power Supply Bureau of Guangxi Power Grid uses drones and robots to conduct live-line inspections of insulators.

Liu Ying, general manager of the Digitalization Department at Guangxi Power Grid Co., Ltd., said the company has been building multilingual professional corpora for the power sector, covering ASEAN countries including Laos, Vietnam and Malaysia. Drawing on the capabilities of the DaWatt foundation model, the company is developing energy and power models tailored to ASEAN languages and real-world power industry applications.

Talent development is another focus of the cooperation. The China-ASEAN Institute of Energy, jointly established by Guangxi Power Grid Co., Ltd. and Guangxi University, is exploring an industry-university training model with a strong emphasis on practical experience. So far, two cohorts totaling 53 students from ASEAN countries have enrolled.

Cooperation is also evolving from one-way training toward joint innovation. Guangxi Power Grid Co., Ltd. and the Royal Academy of Cambodia have jointly established a laboratory for artificial intelligence and safety equipment, while the company has also launched peer-to-peer exchanges with Electricité du Laos on improving power supply reliability.

To address language barriers in cross-border technical exchanges, Guangxi Power Grid Co., Ltd. has developed an AI-powered translation platform backed by a specialized database containing terminology for more than 1,800 types of power equipment. The platform supports accurate translation between Chinese and English, Chinese and Lao, and Chinese and Vietnamese.

At a recent training program for Chinese and overseas engineers, the system supported one-click generation of bilingual course materials and real-time speech translation, helping participants navigate highly specialized power-sector terminology.

To support regular international exchanges, Guangxi Power Grid Co., Ltd. has also established an international talent pool covering management, technical and skilled personnel. It has developed 24 hours of courses on international affairs as well as 20 short-form video courses.

"This year, we will also explore joint postgraduate programs with universities in ASEAN countries," said Sun Xiaohua, deputy director of the Human Resources Department at Guangxi Power Grid Co., Ltd.

Looking ahead, Guangxi Power Grid Co., Ltd. plans to further advance a development model featuring "R&D in Beijing, Shanghai and Guangdong, integration in Guangxi, and application in ASEAN." The company will continue expanding its multilingual power-sector corpora and explore a "Token Goes Global" model for power-sector AI, with computing resources and models based in Guangxi while knowledge services are delivered overseas. The effort is aimed at creating new forms of China-ASEAN energy cooperation and supporting the green development of the China-ASEAN Free Trade Area 3.0.

Hashtag: #GuangxiPowerGridCo.,Ltd. #ChinaSouthernPowerGrid #ChinaASEAN #EnergyCooperation

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