中新网北京报道，随着人工智能大模型的高速发展，算力管理复杂性及高昂的训练成本成为制约AI进步的重要瓶颈。对此，业内专家近日接受中新财经记者吴涛的专访，就AI困境的破解之道进行深入探讨。
人工智能的蓬勃兴起对算力需求日益增长，而管理庞大的计算资源、应对复杂的计算任务成为当前AI领域面临的一大挑战。专家指出，复杂的算力管理和高昂的训练成本限制了AI技术的普及和应用。针对这一问题，需要寻求高效的解决方案。
业内专家建议，首要举措是优化算力管理，提升计算资源的使用效率。此外，还需加大研发力度，通过技术创新降低训练成本。同时，建立合理的任务调度机制，以应对多样化的计算需求。
未来，随着技术的不断进步和策略的持续调整，相信AI领域将逐渐摆脱这些发展瓶颈。专家呼吁业界共同努力，推动AI技术的健康发展，为社会创造更多价值。此次访谈揭示了AI领域的新挑战及应对策略，为行业发展提供了有益参考。
英语如下：
News Title: “AI Faces Development Bottleneck: Complex Computational Power Management and High Training Costs, Experts Discuss Solutions”
Keywords: AI bottleneck, computational power management, high cost
News Content:
Experts Analyze AI Development Dilemma and Explore Ways to Optimize Computational Power Management
Beijing, China News Service reports that with the rapid development of artificial intelligence (AI) models, the complexity of computational power management and high training costs have become important bottlenecks restricting AI progress. In response, industry experts recently accepted an exclusive interview with China News Service journalist Wu Tao to deeply discuss solutions to the AI dilemma.
The booming rise of artificial intelligence has increasingly demanded computational power. Managing vast computing resources and dealing with complex computing tasks have become a major challenge in the current AI field. Experts pointed out that complex computational power management and high training costs limit the popularization and application of AI technology. To address this issue, efficient solutions are needed.
Industry experts suggest that the primary measure is to optimize computational power management and improve the efficiency of computing resource usage. In addition, research and development efforts should be increased to reduce training costs through technological innovation. At the same time, a reasonable task scheduling mechanism should be established to cope with diverse computing needs.
In the future, with continuous technological advancements and strategic adjustments, it is believed that the AI field will gradually overcome these development bottlenecks. Experts are calling for the industry to work together to promote the healthy development of AI technology and create more value for society. This interview reveals new challenges and coping strategies in the AI field, providing useful references for industry development.
【来源】http://www.chinanews.com/cj/2024/06-29/10243055.shtml
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