Transforming the future: a review of artificial intelligence models

A. Pugachev, A. Kharchenko, N. A. Sleptsov
{"title":"Transforming the future: a review of artificial intelligence models","authors":"A. Pugachev, A. Kharchenko, N. A. Sleptsov","doi":"10.22363/2312-9220-2023-28-2-355-367","DOIUrl":null,"url":null,"abstract":"A comprehensive review of existing artificial intelligence models, focusing on fourteen prominent language and multimodal generative models from four rapidly evolving categories: Marketing, Copywriting, Image Improvement, and Social Media, is made. As of May 2023, 1,523 AI models are available to end users, with notable Russian services such as Balaboba, GigaChat, and Kandinskiy 2.0 emerging as counterparts to popular foreign neural networks. The potential applications of these tools in various media production domains, including journalism, marketing, and copywriting, are explored. It was necessary to talk about language models, since these are the ones, most connected not only to the media sphere, but to academic writing as well. Moreover, the authors delve into the ethical considerations associated with the use of AI models in professional settings, addressing potential challenges and concerns. The importance of responsible development, use, and regulation of AI technology, as well as the need for collaboration among researchers, governments, and private organizations to ensure ethical AI practices, is highlighted. The authors also outline the prospects for further development of AI models and related research, emphasizing the need to foster an environment of continuous learning for innovation that is inclusive and accessible. This approach will help maximize the benefits of AI while minimizing potential harm, paving the way for a more prosperous, equitable, and sustainable future. The presented materials can serve as an introduction to the emerging branch of AI models development.","PeriodicalId":32646,"journal":{"name":"RUDN Journal of Studies in Literature and Journalism","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"RUDN Journal of Studies in Literature and Journalism","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22363/2312-9220-2023-28-2-355-367","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

A comprehensive review of existing artificial intelligence models, focusing on fourteen prominent language and multimodal generative models from four rapidly evolving categories: Marketing, Copywriting, Image Improvement, and Social Media, is made. As of May 2023, 1,523 AI models are available to end users, with notable Russian services such as Balaboba, GigaChat, and Kandinskiy 2.0 emerging as counterparts to popular foreign neural networks. The potential applications of these tools in various media production domains, including journalism, marketing, and copywriting, are explored. It was necessary to talk about language models, since these are the ones, most connected not only to the media sphere, but to academic writing as well. Moreover, the authors delve into the ethical considerations associated with the use of AI models in professional settings, addressing potential challenges and concerns. The importance of responsible development, use, and regulation of AI technology, as well as the need for collaboration among researchers, governments, and private organizations to ensure ethical AI practices, is highlighted. The authors also outline the prospects for further development of AI models and related research, emphasizing the need to foster an environment of continuous learning for innovation that is inclusive and accessible. This approach will help maximize the benefits of AI while minimizing potential harm, paving the way for a more prosperous, equitable, and sustainable future. The presented materials can serve as an introduction to the emerging branch of AI models development.
改变未来:人工智能模型综述
对现有的人工智能模型进行了全面的回顾,重点关注了14种突出的语言和多模态生成模型,这些模型来自四个快速发展的类别:营销、文案、形象改善和社交媒体。截至2023年5月,最终用户可以使用的人工智能模型有1523个,俄罗斯著名的服务如Balaboba、GigaChat和kandinsky 2.0正在成为流行的外国神经网络的对手。探讨了这些工具在各种媒体生产领域的潜在应用,包括新闻、营销和文案。有必要讨论一下语言模型,因为这些模型不仅与媒体领域密切相关,而且与学术写作也密切相关。此外,作者还深入研究了与在专业环境中使用人工智能模型相关的道德考虑,解决了潜在的挑战和担忧。强调了负责任地开发、使用和监管人工智能技术的重要性,以及研究人员、政府和私人组织之间开展合作以确保人工智能实践合乎道德的必要性。作者还概述了人工智能模型和相关研究的进一步发展前景,强调需要营造一个包容和可访问的持续学习创新环境。这种方法将有助于最大限度地发挥人工智能的好处,同时最大限度地减少潜在的危害,为更加繁荣、公平和可持续的未来铺平道路。所提供的材料可以作为人工智能模型开发的新兴分支的介绍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
0.10
自引率
0.00%
发文量
58
审稿时长
5 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信