We're introducing Lyro - our revolutionary tool that delivers personalized customer support, just like a human service agent would. In this article, you'll learn: Let Lyro handle up to 70% of common customer questions, freeing your real agents to solve complex tickets.

In Tidio, at your disposal you have several different tools for providing live assistance: chatting with operators, using automated flows, and chatting with the Lyro AI agent. These main features let you conduct customer support effectively, but how do they all work together?

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Lyro is a conversational AI that talks to your audience. Solve up to 70% of customer problems - on any live channel, in dozens of languages - without extra hiring. Lyro AI Agent answers customers in 6 seconds using only your data and human-like language.

Lyro is an AI-powered chatbot tool developed by Tidio that aims to revolutionize customer service. It enables small and medium businesses to scale their support capacity without the need for additional hiring. Lyro engages with customers, providing instant answers to their questions.

Setting up Lyro in Tidio is a quick and efficient way to automate customer interactions on your website (and other channels). With just a few steps, you can have a smart, responsive agent working for you, providing support and even generating leads or booking meetings.

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2023年9月20日 · 马尔可夫状态模型（MSM）是一种应用于分子动力学模拟的数学模型，可用于识别动力学相关的状态，通过估计转移概率矩阵而对这些状态之间的相互转换进行准确描述。 MSM 允许高度并行化采样和系统统计描述，可以使用一组短时 MD 模拟来预测热力学信息和长时间尺度（例如毫秒）上的动力学信息。 近些年来广泛应用于如蛋白质折叠、分子识别和小分子扩散等领域。 马尔可夫状态模型的基本结构可以用数学公式表示如下： 状态空间：设状态空间为 {S1, …

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边缘结构模型（Marginal structural models，MSMs）是一种因果模型，用于调整影响随时间变化的处理/治疗方案（time-varying treatments）的时依性混杂因子（time-dependent confounding），使得我们能无偏估计因果效应（unbiased estimation of casual effects） [2]。 传统的估计时变性处理的因果效应的方法是对结果的概率建立回归方程，将过去的处理（past treatment/exposure）和过去的混杂因子（past confounder）作为方程的变量，通常使用分层 …