Demonstration of Automation of Network Configuration Generation using Generative AI

A network service provider (SP) often requires months of planning and testing to launch a new service in the form of a tariff plan. This is because SPs traditionally used operation support systems and business support systems which are large multi-vendor systems with custom implementations that are not easily amenable to launching new digital services such as internet, voice, SMS, IoT. In another detailed work, we have highlighted the challenges and proposed a faster approach to provisioning such services on the network. The method used a deep neural network framework and a large language model to automate the generation of network configurations. In this submission, we propose to demonstrate our solution framework.