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MAINTAINING MACHINE LANGUAGE MODEL STATE ACROSS COMMUNICATIONS CHANNELS

机译:跨通信渠道维护机器语言模型状态

摘要

Machine learning models may be used during a communications session to process natural language communications and perform actions relating to the communications session. For example, a machine learning model may be used to provide an automated response to a user, to suggest a completion of text being entered by a user, or to provide information about a relevant resource. Further, a company may implement automated workflows for convenience of users or to reduce support costs. For example, allowing a user to change an address using an automated workflow may be faster or less expensive than with a human agent.
机译:可以在通信会话期间使用机器学习模型来处理自然语言通信并执行与该通信会话有关的动作。例如,机器学习模型可以用于向用户提供自动响应,建议用户输入的文本的完成或提供有关相关资源的信息。此外,公司可以实施自动化的工作流程以方便用户使用或减少支持成本。例如,允许用户使用自动化工作流程更改地址可能比使用人工代理更快或更便宜。

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