ScaDL 2022特邀演讲4:可持续人工智能@规模:加速数十亿用户的人工智能模型

M. Gschwind
{"title":"ScaDL 2022特邀演讲4:可持续人工智能@规模:加速数十亿用户的人工智能模型","authors":"M. Gschwind","doi":"10.1109/IPDPSW55747.2022.00169","DOIUrl":null,"url":null,"abstract":"AI is a foundational technology at Meta: we use AI to identify relevant and interesting content our users delight at interacting with, to translate content to transcend language barriers, and to keep our communities safe by identifying inappropriate content, such as bullying, domestic violence and terrorism in images, videos, and text. The need for ever higher quality models intersects with the imperative of keeping AI growth sustainable. While academic research has emphasized an exponential resource growth of models to deliver quality, we must bend the curve to ensure sustainable growth and minimize environmental impact. As we are looking for ever higher quality, larger scale models to deliver on our mission to connect users and build safe communities, AI accelerators provide the foundation for scaling up quality, while keeping power consumption manageable and sustainable, and delivering on our sustainability commitments.","PeriodicalId":286968,"journal":{"name":"2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)","volume":"515 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"ScaDL 2022 Invited Talk 4: Sustainable AI @ Scale: Accelerating AI models for billions of users\",\"authors\":\"M. Gschwind\",\"doi\":\"10.1109/IPDPSW55747.2022.00169\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"AI is a foundational technology at Meta: we use AI to identify relevant and interesting content our users delight at interacting with, to translate content to transcend language barriers, and to keep our communities safe by identifying inappropriate content, such as bullying, domestic violence and terrorism in images, videos, and text. The need for ever higher quality models intersects with the imperative of keeping AI growth sustainable. While academic research has emphasized an exponential resource growth of models to deliver quality, we must bend the curve to ensure sustainable growth and minimize environmental impact. As we are looking for ever higher quality, larger scale models to deliver on our mission to connect users and build safe communities, AI accelerators provide the foundation for scaling up quality, while keeping power consumption manageable and sustainable, and delivering on our sustainability commitments.\",\"PeriodicalId\":286968,\"journal\":{\"name\":\"2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)\",\"volume\":\"515 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IPDPSW55747.2022.00169\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IPDPSW55747.2022.00169","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

人工智能是Meta的一项基础技术:我们使用人工智能来识别用户喜欢与之互动的相关和有趣的内容,翻译内容以超越语言障碍,并通过识别不适当的内容来保护我们的社区安全,例如图像,视频和文本中的欺凌,家庭暴力和恐怖主义。对更高质量模型的需求与保持人工智能可持续增长的必要性相交叉。虽然学术研究强调以指数增长的模式提供高质量的资源,但我们必须扭转曲线,以确保可持续增长并最大限度地减少对环境的影响。我们正在寻找更高质量、更大规模的模型来实现我们连接用户和建立安全社区的使命,人工智能加速器为提高质量提供了基础,同时保持功耗可控和可持续,并实现我们的可持续发展承诺。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ScaDL 2022 Invited Talk 4: Sustainable AI @ Scale: Accelerating AI models for billions of users
AI is a foundational technology at Meta: we use AI to identify relevant and interesting content our users delight at interacting with, to translate content to transcend language barriers, and to keep our communities safe by identifying inappropriate content, such as bullying, domestic violence and terrorism in images, videos, and text. The need for ever higher quality models intersects with the imperative of keeping AI growth sustainable. While academic research has emphasized an exponential resource growth of models to deliver quality, we must bend the curve to ensure sustainable growth and minimize environmental impact. As we are looking for ever higher quality, larger scale models to deliver on our mission to connect users and build safe communities, AI accelerators provide the foundation for scaling up quality, while keeping power consumption manageable and sustainable, and delivering on our sustainability commitments.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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:481959085
Book学术官方微信