摘要
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-人工智能的新研究e是一个报告的主题。据新闻报道NewsRx编辑从中国厦门报道，研究称，"生成性"人工智能(GAI)需要大量的计算资源来进行模型训练和推理，但GAI及其管理策略的电子废物（电子废物）影响仍然没有得到充分的探索。在这里我们引入了一个计算潮流驱动的物流分析框架来量化和探索人类老化GAI产生的电子垃圾的方式，特别关注大型语言模型。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Artificial Intelligenc e is the subject of a report. According to newsreporting out of Xiamen, People’ s Republic of China, by NewsRx editors, research stated, “Generativeartificial intelligence (GAI) requires substantial computational resources for model traini ng and inference, but the electronic-waste (e-waste) implications of GAI and its management strategies remain underexplored.Here we introduce a computational p ower-driven material flow analysis framework to quantify and exploreways of man aging the e-waste generated by GAI, with a particular focus on large language mo dels.”
NETL
NSTL