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Writer :2024生成式人工智能企业应用指南(英文版)(37页).pdf

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1、 GUIDESGenerative AI explainedThe complete guide for enterprise business leadersTableofcontentsGenerative AI,LLMs,training data,and RAG in plain languageSeparating generative AI hypefrom realityThe anatomy of full-stackgenerative AIHow can our business use generativeAI right now?What influence will

2、generative AIhave on our customers?How do we train our team to usegenerative AI?How can we get the most out ofa generative AI investment?What are the business risks of using generative AI and how dowe avoid them?39121622303326INTRO1Generative AI is positioned to transform everything you can imagine

3、about work and business,and the pace of innovation is only going to increase.Generative AI isnt just another tech buzzword its reshaping the business landscape as profoundly as the internet did.Analysts project that with generative AI alone,the global economy will get an immense boost of$7.9 trillio

4、n annually,apart from the$17.7 trillion of economic value that non-generative AI contributes yearly.If youre an enterprise exec,youre probably feeling the pressure to embrace generative AI from all sides.A recentstudy from IBM shows that it isnt just competitors or consumers pushing for generative A

5、I adoption business leaders surveyed say that employees,board members,and investors are demanding to see AI strategies in place.In this new era,effective business leadership will require having a solid grasp of generative AI.Youre going to need to understand the risks and rewards,work AI into your d

6、igital transformation strategy,and act as a steward for responsible,ethical AI implementation and adoption.But fear not:you dont need a PhD in data science to wrap your head around generative AI.Weve teamed up the creative prowess of our human writers with the capabilities of our generative AI platf

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本文主要介绍了生成式人工智能(Generative AI)在企业中的应用,包括其定义、类型、训练数据、风险和收益等。生成式AI利用自然语言处理和机器学习技术,能够创造看起来像人类产生的数据或内容。文中提到,到2022年底,一些个人和企业已经开始尝试使用生成式AI,但他们的探索相对低调。然而,随着OpenAI的聊天机器人工具ChatGPT的突然发布,生成式AI技术开始受到广泛关注。 文章指出,生成式AI不仅仅是另一个技术炒作词,它正在深刻地重塑商业景观,就像互联网一样。据分析,仅生成式AI就能为全球经济每年带来7.9万亿美元的增长,而不包括非生成式AI每年贡献的17.7万亿美元经济价值。 文中还详细介绍了生成式AI的组成,包括大型语言模型(LLM)、训练数据、检索增强生成(RAG)等。此外,还讨论了如何将生成式AI应用于企业,包括营销、客户支持、运营、人力资源等不同部门。 最后,文章强调了在使用生成式AI时需要考虑的风险,如数据安全、隐私、版权法和合规性等,并提供了避免这些风险的策略。总体来说,生成式AI为企业提供了一个强大的工具,可以提高效率、创造力和创新能力,但同时也需要谨慎对待其潜在的风险。
企业如何利用生成式AI提高生产力? 生成式AI如何影响客户体验? 如何培训团队使用生成式AI?
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