eBay支付风控智能数据标注实践-魏瑶.pdf

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1、eBay Payment Risk Intelligent Data LabelingImproving Label Data Efficiency,Accelerating AI Productionization魏瑶(Wendy Wei)eBay支付风控资深技术专家Agenda5ReflectionsData Labeling Importance and ChallengesIntelligent Data Labeling SystemLLM Based Smart Labeling Core TechnologiesCase Study Detect Off-ebay Transac

2、tion Model Labeling Data Labeling Importance and ChallengesData Labeling Solution and Services Market20242034$12.7B$92.4BMarket forecast to grow at CAGR 22%China Market Value(2034)US$10.1 BillionSource:FACT.MRLabels in AI/MLGround Truth for Model TrainingModel Accuracy and PerformanceFeature Underst

3、anding and EngineeringModel Evaluation and OptimizationeBay Payment Risk ML LabelsSystem LabelManual LabelebayChallenges in Data LabelingData Volume&EfficiencyData Quality&ConsistencyData Diversity&ScalabilityML Models require massive volumes of labeled data for training,while labeling is time-consu

4、ming and resource-intensiveMaintaining high annotation accuracy and ensuring consistency across different annotators and datasetsEnsuring a diverse and representative dataset that covers all possible scenarios and variations is complex and hard to scaleLLM Impacts on Data Labeling Rapid PrototypingI

5、ncreased EfficiencyCost ReductionConsistency in AnnotationIntelligent Data Labeling SystemUser Interface and Job Workflow ManagementLLM automated LabelingSystem Integration and ScalabilityLabel Data Quality AssessmentLabel Data Management Role Based Access Control ManagementKey FeaturesKey Features

6、User Interface and Job Workflow ManagementCreatorResource ManagerLabeling DataLabel StoreManage ProjectLaunch Labeling JobAnnotatorApprove/Assign JobsLLM RecommendationCopyright 1995-2024 eBay Inc.All Rights ReservedKey Features User Interface and Job Workflow ManagementCopyright 1995-2024 eBay Inc.