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企业应用程序与生成式AI结合.pdf

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1、Using NLP to Improve Generative AIPresented at:Data Summit 2024May 9,2024Using Generative AI in business researchOptions for creating Generative AI solutionsHallucination and Retrieval Augmented GenerationThe importance of context windowsStrategies for overcoming limitations of context windowsUsing

2、NLP in Generative AI solutionsAgenda3SinglePoint integrates all the content relevant to the client regardless of its originClientBest PracticesUser InterfaceContent CollectionsInternalRepositoriesNorthern Light SinglePointExternal Content ProvidersMachine Learning&Gen AIPrimary Market Research&CICus

3、tom Research SuppliersSyndicated ResearchBusiness NewsSearch Results,Content,and InsightsJournal Articles andJournal AbstractsInsight Distribution ToolsIntegrated SearchAuto Tagging and TaxonomiesPrimary Research Manager Workflow System4Generative AI for market research and competitive intelligence

4、is a powerful new toolUser questionCitation and link appears when mouse hovers over chickletMultiple sources for an observation are all citedGen AI responseStudy by Harvard Business School with 758 consultants at BCG found Generative and Conversational AI had dramatic impact on business strategy wor

5、k5Consultants divided in groups that either used ChatGPT-4 or did notGiven a series of business strategy research tasks to performThose consultants that were previously judged to be below average improved their performance by 43%Those consultants that were previously judged to be above average incre

6、ased their performance by 17%The group using Gen AI finished tasks 40%faster with 25%higher qualityOutput measured on quantity and qualitySurvey of 30,000 LinkedIn members by Microsoft,just published this week,found that employees are way ahead of employers on adoption of AI675%of business professio

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本文主要探讨了自然语言处理(NLP)在改进生成性人工智能(AI)方面的应用,特别是在商业研究和竞争情报领域。文章提到了生成性AI在商业策略工作中的巨大影响,以及员工在采用AI方面的领先地位。数据显示,75%的商业专业人士在工作中使用AI,其中59%的人自带AI工具到工作中。所有年龄段,从婴儿潮一代到Z一代,都是AI在工作中的重度用户。文章还讨论了生成性AI解决方案的创建选项,以及如何使用检索增强生成(RAG)来克服生成性大型语言模型(LLM)的限制。最后,文章提出了使用NLP将文档缩减为表达观点、评论、分析和事实的“摘要性句子”的方法,以降低API成本并提高生成性AI解决方案的效率。
"Generative AI如何改变商业研究?" "Retrieval Augmented Generation如何提升AI生成效率?" "NLP如何帮助克服Generative AI的上下文窗口限制?"
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