Article(id=1242140905273106572, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242140865905373753, articleNumber=null, orderNo=null, doi=10.3981/j.issn.1000-7857.2024.01.017, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1703865600000, receivedDateStr=2023-12-30, revisedDate=1704643200000, revisedDateStr=2024-01-08, acceptedDate=null, acceptedDateStr=null, onlineDate=1712592000000, onlineDateStr=2024-04-09, pubDate=1705075200000, pubDateStr=2024-01-13, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1712592000000, onlineIssueDateStr=2024-04-09, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774079069674, creator=sys-migrate, updateTime=1774079069674, updator=sys-migrate, issue=Issue{id=1242140865905373753, tenantId=1146029695717560320, journalId=1146031591421210625, year='2024', volume='42', issue='1', pageStart='1', pageEnd='328', issueExtLink='null', onlineDate='null', pubDate='1705075200000', pubDateStr='2024-01-13', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774079060289, creator='sys-migrate', updateTime=1774079060289, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=266, endPage=285, ext={EN=ArticleExt(id=1242140910461465395, articleId=1242140905273106572, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=Review on hot topics of large generative AI models, columnId=1242140877192245888, journalTitle=Science & Technology Review, columnName=Exclusive: Science and Technology Review in 2023, runingTitle=null, highlight=null, articleAbstract=In 2023 the development of large generative AI models achieved a series of breakthroughs. This paper reviews the key technologies of large models that have received significant attention, including the emergent abilities of large language model(LLM), development of multimodal LLMs, as well as alignment and knowledge enhancement techniques of large models. The paper also introduces the vertical applications of generative AI in various fields such as healthcare and education, and its role in advancing the development of AI agents and metaverse technologies. Additionally, the challenges and developmental trends in generative AI are discussed, including issues related to data privacy, biased values, copyright disputes, and fake news propagation., authors=DENG Jiawen, REN Fuji, authorsList=DENG Jiawen, REN Fuji, authorCompany=School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1242140908540474152, articleId=1242140905273106572, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=2023年生成式AI大模型发展热点回眸, columnId=1242140876735063025, journalTitle=科技导报, columnName=专题：2023年科技热点回眸, runingTitle=null, highlight=null, articleAbstract=2023年,生成式大模型技术发展迅速,取得了一系列突破性的进展。回顾了2023年备受关注的大模型关键技术,包括大模型的能力涌现、多模态大语言模型的发展,以及大模型对齐和知识增强技术。介绍了大模型技术在医疗、教育等领域的垂直应用,以及对AI智能体与元宇宙技术发展的促进作用。此外,从数据隐私、有偏价值观、版权争议及虚假新闻传播等方面讨论了生成式大模型技术面临的安全挑战和发展趋势。, authors=邓佳文, 任福继, authorsList=邓佳文, 任福继, authorCompany=电子科技大学计算机科学与工程学院, 成都 611731, correspAuthors=null, authorNote=邓佳文,助理研究员,研究方向为人工智能、大模型技术、情感计算等,电子信箱:dengjw@uestc.edu.cn, correspAuthorsNote=任福继（通信作者）,教授,日本工程院院士、欧盟科学院院士、俄罗斯工程院外籍院士,研究方向为先进智能、情感计算、智能机器人等,电子信箱:renfu-ji@uestc.edu.cn, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=Zbwy56/u7U9vF0yLvE1O/w==, pdfFileSize=5408993, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, 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