National Energy Administration: Explore the construction of an industry-level artificial intelligence application testing platform to effectively collaborate with enterprises in the independent development of large models.

Officials from the Science and Technology Department of the National Energy Administration answered questions from reporters regarding the "Implementation Opinions on Promoting the High-Quality Development of 'Artificial Intelligence + Energy'". Question: How will the implementation of the "Implementation Opinions" be promoted in the next step? The intelligent transformation of the energy sector requires concerted efforts and coordination from top to bottom. The National Energy Administration will focus on the next phase goals and tasks of intelligent transformation in the energy sector, further strengthen top-level design, policy support, and guidance coordination, regularly conduct analysis, research, and evaluation, study and solve major issues in the promotion of work, and ensure the smooth progress of various tasks outlined in the "Implementation Opinions". First, it will strengthen organizational implementation. Enhance overall coordination, form a coordinated working pattern from top to bottom, promote local governments and enterprises to refine measures according to local conditions, establish sound long-term working mechanisms, and strengthen process supervision to ensure the implementation of the "Implementation Opinions" tasks and achieve practical results. Second, it will enhance industry-academia-research cooperation. Taking into account the application potential, maturity, and driving force of various industries such as coal, electricity, oil, and gas, select a group of high-value application scenarios of artificial intelligence in the energy sector. Encourage enterprises, research institutes, universities, and other innovative entities to establish high-level research and innovation platforms and innovation alliances, and promote deep integration of industry, academia, and research. Third, expedite the transformation of scientific and technological achievements. Explore the construction of industry-level artificial intelligence application testing platforms, effectively coordinate large-scale models developed by enterprises independently, address the problem of "reinventing the wheel" for large models, and prevent excessive consumption of advanced computing power and energy resources. Select a group of replicable and easily scalable benchmark scenarios and cases, encourage institutional mechanisms and business model innovation, and promote the implementation and transformation of artificial intelligence technology projects in the energy sector.