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埃森哲:生成式人工智能:人人可享的新时代(中译版)(23页).pdf

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1、A new era of generative AI for everyoneThe technology underpinning ChatGPT will transform work and reinvent businessTable of ContentsWelcome to AIs new inflection pointHow did we get here?|Milestones in the journey to generative AIConsume or customize:Generative AI for everyoneA look ahead at the fa

2、st-paced evolution of technology,regulation and businessEmbrace the generative AI era:Six adoption essentialsThe future of AI is acceleratingGlossary and ReferencesAuthors03040508121921222A new era of generative AI for everyone|IntroductionWelcome to AIs new inflection point ChatGPT has woken up the

3、 world to the transformative potential of artificial intelligence(AI),capturing global attention and sparking a wave of creativity rarely seen before.Its ability to mimic human dialogue and decision-making has given us AIs first true inflection point in public adoption.Finally,everyone,everywhere ca

4、n see the technologys true disruptive potential for themselves.ChatGPT reached 100 million monthly active users just two months after launch,making it the fastest-growing consumer application in history.1A foundation model is a generic term for large models with billions of parameters.With recent ad

5、vances,companies can now build specialized image-and language-generating models on top of these foundation models.Large language models(LLMs)are both a type of generative AI and a type of foundation model.The LLMs behind ChatGPT mark a significant turning point and milestone in artificial intelligen

6、ce.Two things make LLMs game changing.First,theyve cracked the code on language complexity.Now,for the first time,machines can learn language,context and intent and be independently generative and creative.Second,after being pre-trained on vast quantities of data(text,images or audio),these models c

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本文主要介绍了生成式人工智能(Generative AI)的发展历程、应用场景、未来趋势以及企业如何应对这一变革。 1. 生成式人工智能的发展历程经历了机器学习、深度学习和语言掌握三个阶段。最近,大型语言模型(LLM)如ChatGPT的问世标志着语言掌握阶段的开始,这为人工智能的发展带来了重大突破。 2. 生成式人工智能的应用场景包括:提供智能建议、辅助创作、编程、自动化流程和保护企业信息安全等。例如,ChatGPT可以用于客户服务、销售支持、人力资源等领域,提高工作效率。 3. 未来,生成式人工智能的发展将受到技术、法规和商业采纳的加速推动。技术方面,计算能力、模型微调、基础模型和数据等方面都将快速发展。法规方面,企业需要关注知识产权、数据隐私、歧视、产品责任和信任等问题。商业方面,企业需要重新设计工作,投资培训,以适应人机协作的新未来。 4. 企业应对生成式人工智能变革的六项关键措施包括:以业务驱动的思维进行实验,以人为本,准备自有数据,投资可持续的技术基础,加速生态系统创新,提高负责任人工智能的水平。 综上所述,生成式人工智能的发展为企业带来了新的机遇和挑战,企业需要积极应对,以实现人机协作的新未来。
生成式AI如何改变工作? 企业如何保护自己的知识产权? 生成式AI在哪些行业应用最广泛?
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