利用生成式人工智能提高赫伯罗特的审计效率.pdf

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1、2024 Databricks Inc.All rights reservedEnhancing Audit Enhancing Audit Efficiency at Efficiency at HapagHapag-Lloyd with Lloyd with Generative AIGenerative AIUlrich DanielUlrich DanielMichael ShtelmaMichael ShtelmaTania SennikovaTania Sennikova12024 Databricks Inc.All rights reservedUlrich DanielDir

2、ector of Corporate Audit Analytics at Hapag-Lloyd AGPresentersMichael Shtelma Lead Specialist Solutions Architect at DatabricksTania SennikovaSr.Solutions Architect at Databricks2024 Databricks Inc.All rights reservedAgenda1.Hapag-Lloyd company overview,challenges,and scale 2.Optimizing corporate au

3、dit at Hapag-Lloyd3.Generating findings&executive summary4.Chatbot for process documentation5.Whats next2024 Databricks Inc.All rights reserved2024 Databricks Inc.All rights reserved2024 Databricks Inc.All rights reserved5Optimizing Optimizing Corporate AuditCorporate Audit2024 Databricks Inc.All ri

4、ghts reserved2024 Databricks Inc.All rights reserved2024 Databricks Inc.All rights reserved2024 Databricks Inc.All rights reserved8Generating Generating findings&exec findings&exec summary summary 2024 Databricks Inc.All rights reservedProject stages9Deployment&application integrationModel deploymen

5、tChat interface developmentDefine ProblemDefine the business problemCreate evaluation datasetDefine metricsModel Adaptation&EvaluationData preparationChoose a base modelPrompt engineering Evaluating results2024 Databricks Inc.All rights reservedHigh Level Architecture10UsersDescribe Observations in

6、a documentScheduledPipelineFindings Generation ModelGenerate FindingsLLMSummary Writing ModelLLMStore in a Delta TableFew shot promptingQueryExample 1Example 2User supplied examplesStore Findings in a Table2024 Databricks Inc.All rights reservedModelingStarted MPT 30bFirst version used Llama 2 70bAf