Server-Side Component for a Context-Adaptive Virtual Operator Constructor with Generative Language Model

Today's domestic business spots the increasing need for efficient user scenario management. As proprietary automated systems require much money not only for the development but also huge resources for the maintenance, we may notice the luxury of such solutions is often unaffordable for small-to-medium enterprises (SME). At the same time the rapid development of cloud providers over the past decade has made on-premise solutions unnecessary for many companies, especially for those ones who`s need in that is based on unavailability of suitable solutions, not on business needs. At this point we may think about creating a cloud service with intelligent system underneath based on a Large Language Model to process natural language requests (audio or text) and a scenario builder to manipulate with dialog flow. The main idea is to reduce the need to maintain a staff for system's support and to make the process of scenario automatization look similar to constructor assembly, providing B2B clients with flexible and necessary instruments to organize omnichannel communication with their clients. This solution will improve the user experience not only for agents but also for their clients. The work contains: 39 pages, 3 chapters, 13 sources. Keywords: TTS; LLM; AI; GPT; context; virtual operator; constructor; component, backend; NLP; cloud service;