话题 / 工作流集成依据

观点转述

决策模型可作为可靠且低延迟的工作流步骤

Marc Brooker 向 TechCrunch 表示,决策模型可以从一组固定的答案中选择工作流的下一步。他列举了置信度评分、更低的延迟以及可能更低的成本作为使用它们的理由。

观点背后的信息

译文仅辅助阅读;核查观点请以原始摘录为准。

亚马逊发布其自研Jev克隆版,决策模型席卷网络 | TechCrunch

‘最初让我对这类模型产生兴趣的,是它们能精准充当工作流中的决策节点——即回答“基于我当前所处的位置,下一步该做什么?”’布鲁克(Brooker)向《TechCrunch》表示。他指出,该模型为用户提供了‘一种结构化的工作流步骤,可靠性更高:一方面依靠置信度评分,另一方面因答案限定在封闭领域内;此外,该步骤延迟更低,潜在成本也可能更低。’

原始摘录
“What originally piqued my interest in this class of models was that they make a perfect decider for a workflow step— ‘what is the next thing for me to do here, based on where I am?’” Brooker told TechCrunch. He said it offers customers “a workflow step that can be structured in a way that is more reliable, thanks to the confidence scores, thanks to the closed domain of answers, [and is] lower latency, potentially lower cost.”