对话式人工智能和人工神经网络

AnaghaP Dixit
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引用次数: 0

摘要

增强智能正在彻底改变企业日常运作的方式。ChatOps就是这样一个例子,说明了如何在没有人参与的情况下处理简单的查询和活动,如客户参与或销售操作。聊天操作是客户端查询和即时信息交换的综合工具,它在传输和执行过程中促进了软件和操作方法的开发。这些都是低成本的计算机辅助程序,可以帮助客户服务和任何形式的人员管理。ChatOps在客户方便时提供支持,无论位置如何,因此对众多人具有吸引力。这种工具正在重建数据的感知方式,防止数据过载,并将信息提炼为最需要和最实用的元素。ChatOps本质上意味着会话AI,它使用NLP和其他算法来补充它并实现它的功能。机器人通过将各种意图作为输入进行约束,这些输入为自动响应提供了标准。大量的用户输入语料库帮助人工智能在预测和模式匹配方面做得更好。这样的输入数量越多,可用的训练有素的机器模型就越好。从简单的闲聊到复杂的指令,同时保持互动性和持续的对话流,这是一种广泛的交流方式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CONVERSATIONAL AI AND ARTIFICIAL NEURAL NETWORKS
Augmented intelligence is revolutionizing the waybusinesses function on a day-to-day basis. ChatOps are one suchexample of how simple queries and activities, such as customerengagementorsalesoperations,can be handled without the involvement of a human. Chat Ops is the synthes is of client queries and an instantaneousinformationalexchangeinstrumentthatfacilitatesdevelopmentofsoftwareandoperationalmethodsinits transmission and execution. These are low-cost, computer-assistedprogramsthathelpincustomerserviceandanymodel of people management. ChatOps offer support at clients’convenience,irrespective of location hence an appeal to amultitude of people. Such a tool is reconstructing the way data isperceived,preventing it sover load and distilling information down to the most needed and practical elements. ChatOps inherentlymeans Conversational AI which uses NLP and other algorithmsthat compliment it and implements its functionalities. The bot istrained by having various intents as inputs, which provide the standard for the automated response. Alarge corpus of user input she lps the AI toget better at predictions and pattern matching. The more number of such inputs, the better trained machine model availabletouse.The intentslieonalargespectrum that could start off as simple chit chat to complicated instructions,while maintaininganinteractiveandcontinuousconversationflow.
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