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在生产中运行 Gen AI.pdf

上传人: 哆哆 编号:631220 2025-04-19 19页 8.61MB

1、?Running Gen AI in productionDenis DjembiSr Solution AdvisorSofiane ChamiDataScientist23 April 2025C2-Restricted use Use case:Legal professionals face challenges in efficiently accessing,retrieving,and analysing legal documents while ensuring compliance and confidentiality.IntroductionKey Features:A

2、dvanced Legal Search Quickly retrieve relevant legal documents with NLP-powered queries.AI-Powered Insights Summarisation and contextual analysis of legal texts.Confidentiality&Compliance Ensures data security and legal adherence.117C2-Restricted use Description:A single LLM retrieves and generates

3、responses based on retrieved knowledge.Pros:?Simplicity in architecture?Lower computational cost?Faster response timeCons:?Limited adaptability?Struggles with complex,multi-step reasoning?Retrieval may lack contextual refinementDescription:Uses multiple specialised agents collaborating for retrieval

4、,analysis,and generation.Pros:?Better handling of complex queries?Enhanced reasoning through multiple perspectives?More robust knowledge synthesisCons:?Higher computational and infrastructural requirements?Increased latency due to agent coordination?More complex implementationClassic RagRag vs Multi

5、 Agent SystemMulti agent system118C2-Restricted use Exploring the RAG ArchitectureDOC,PPTX,PDFSpliter toolEmbedding modelGenerate answers with retriever resultsAzure GPT 4o-mini Vertorised queryResultsRetrieverGeneratorDatabaseSending queryStore split dataAnswerRetrieval Augmented GenerationC2-Restr

6、icted use The Multi Agent ArchitectureVertorized queryResultsOrchestratorGeneratorDatabaseSending queryStore split dataAnswerGenerate answers with retriever resultsAzure GPT 4o-miniDOC,PPTX,PDFSpliter toolEmbedding model120C2-Restricted use Demo121C2-Restricted use Deployment of VeriLex on AzureAzur

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本文主要探讨了AI在金融服务中的应用,以及如何通过AI提高金融服务的自主性、效率和包容性。文章提到了两种不同的AI应用架构:一种是基于单一大型语言模型的人工智能助手,另一种是多个专业代理协作的系统。单一模型架构因其简单和计算成本低而具有快速响应时间的优势,但在适应性和复杂推理方面存在局限。而多代理系统虽然在处理复杂查询、增强推理和知识合成方面具有优势,但需要更高的计算和基础设施要求,以及更复杂的实施过程。文章还提到了Azure GPT 4o-mini等AI工具,并讨论了AI在法律专业中的挑战和应用,如高级法律搜索、AI辅助的法律文本摘要和上下文分析等。最后,文章强调了保护数据安全和遵守法律的重要性。
"AI助手在法律行业的应用有哪些优势和挑战?" "如何通过Agentic AI提高金融服务的自主性、效率和包容性?" "Agentic AI如何改变移动应用程序的格局?"
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