Dashboard for Configuration of Virtual Agents Using LLM

In the changing landscape of customer service, integrating large language models (LLMs) like GPT-4 into virtual assistants signifies a significant change in how customers are interacted with. This paper outlines the creation of a platform that utilizes GPT-4's capabilities to develop virtual agents that can adapt to context. These agents aim to automate and tailor the customer experience by using the deep insights of the natural language model and its proficiency in generating consistent, contextually appropriate responses. The anticipated outcome of this platform is not only to enhance the quality and efficiency of customer service but also to decrease customer service costs for companies by reducing the workforce in the support department. This work contains 49 pages, 3 chapters, 17 figures, 1 table, 11 sources and 7 appendices, of which 4 are separate documents. Keywords— GPT-4, virtual agents, customer service automation, context-adaptive systems, natural language processing, artificial intelligence, user experience, LLM