09/03/2024 | Press release | Distributed by Public on 09/03/2024 01:13
On August 14, Xi'an Research and Development Team of Shendong Coal's Intelligent Technology Center officially unveiled its large language model, "Shendong Wisdom". The AI model, specifically designed for the coal industry, provides employees with an efficient and intelligent work assistance platform, contributing to enhancing work efficiency, optimizing business processes, and reducing man-made mistakes. It underscores the company's technical expertise and innovation capabilities in the field of artificial intelligence.
"Shendong Wisdom" integrates cutting-edge AI technology to build a robust information processing system capable of handling and analyzing vast amounts of industry data. It offers scientific insights for decision-making, intelligent guidance for production, and convenient services for employees. Based on vast industry data and advanced natural language processing technology, the AI model provides intelligent solutions across various critical areas in the coal industry, including smart decision support, safety warnings, production optimization, and equipment maintenance prediction. The core advantage of "Shendong Wisdom" lies in its deep learning capabilities and precise understanding of the specific knowledge in the coal industry. By analyzing historical data, it can predict future trends and provide scientific support to decision-makers, thereby improving production efficiency, reducing operation costs, and ensuring safe operations. In addition, Shendong Wisdom excels in natural language understanding and generation, which enables it to engage in seamless dialogue with users to provide personalized training and guidance for employees, thus further enhancing their professional skills and work efficiency.
The launch of "Shendong Wisdom" marks an important progress of the company toward digital transformation and intelligent upgrading. It sets a benchmark for the entire coal industry, promoting a smarter, greener, and safer future for the sector.