《大模型时代下的因果推断.pdf》由会员分享,可在线阅读,更多相关《大模型时代下的因果推断.pdf(25页珍藏版)》请在三个皮匠报告上搜索。
1、DataFunSummit#2023目录200+IP资产78%+技术研发100%+业务增长九章云极DataCanvas以“创造智能,探索未知”为使命,以“助力全球企业智能升级”为愿景,是中国人工智能基础软件领军者。公司致力通过自主研发的人工智能基础软件产品系列和解决方案为用户提供人工智能基础服务,助力用户在数智化转型中轻松完成模型和数据的双向赋能,低成本高效率的提升企业决策能力,实现企业级AI规模化应用。0102030405DataFunSummit#2023Causal Discovery因果发现Identification of Causal Quantities因果量的识别Causal
2、Effect Estimation因果效应估计Policy Learning策略学习Counterfactual Inference反事实推断XWyZuLarge Language Model数据理解代码生成指令跟随语义理解上下文格式化理解推理信息提取角色扮演API理解思考.LLMCausal DiscoveryCausal Effect EstimationCounterfactual InferenceCausal GraphSimulation Datasetswith Causal RelationshipsLLM-Powered ABMAgent.DataFunSummit#2023
3、Z1Z2U1U2Z3XU2YU2因果发现 on BANK ABM 数据算法应用融合Notears、GOLEM、DAGMA等多种算法获取的因果关系Causal DiscoveryLLMDatasetCausal GraphCorrectedCausal GraphCausationDiscrimination CausationInterpretationDirection RecognitionKey Relationship RecommendationDataFunSummit#2023031415DataFunSummit#20231719Train DataSetEvaluate DataSetEvaluate MetricsTrain data with all featuresor limited featuresTest data with all featuresor limited featuresAuuc,Gini,RLossTrain dataTest data with counterfactual Auuc,Gini,RLoss,Rmse.Train dataTest data&Causal Rank ListAuuc,Gini,RLoss,Rmse.DataFunSummit#2023222324感谢观看