This paper presents a conversational AI platform called Flowstorm. Flowstorm is an open-source SaaS project suitable for creating, running, and analyzing conversational applications. Thanks to the fast and fully automated build process, the dialogues created within the platform can be executed in seconds. Furthermore, we propose a novel dialogue architecture that uses a combination of tree structures with generative models. The tree structures are also used for training NLU models suitable for specific dialogue scenarios. However, the generative models are globally used across applications and extend the functionality of the dialogue trees. Moreover, the platform functionality benefits from out-of-the-box components, such as the one responsible for extracting data from utterances or working with crawled data. Additionally, it can be extended using a custom code directly in the platform. One of the essential features of the platform is the possibility to reuse the created assets across applications. There is a library of prepared assets where each developer can contribute. All of the features are available through a user-friendly visual editor.
翻译:本文展示了名为“ 流暴” 的谈话性AI 平台。 流暴是一个适合创建、运行和分析对话应用程序的开放源码 SaaS 项目。 由于快速和完全自动化的构建过程, 平台内创建的对话可以在几秒钟内进行。 此外, 我们提出一个新的对话结构, 将树木结构与基因模型相结合。 树结构也用于培训适合特定对话情景的NLU模型。 然而, 基因模型在全球应用中使用, 并扩展了对话树的功能。 此外, 平台功能还得益于箱外组件的功能, 如负责从语句中提取数据或与爬行数据合作的功能。 此外, 还可以在平台上直接使用自定义代码进行扩展。 平台的一个基本特征是可以在各种应用程序中再利用所创建的资产。 每个开发者都可以贡献的预设资产库。 所有功能都可以通过方便用户的视觉编辑器提供。