This talk will outline the deployment and fine-tuning of the 5G core. Our approach utilizes customized CDK constructs and LLMs to establish a fully operational Edge 5G core network.

In the first part of the session, we will showcase a new way of combining LLM with our existing 5G core network, which will be deployed using CDK construct. We will then use data from logs to continuously feed and update the training pipeline. This setup enables open-source LLMs to quickly adapt and provide on-the-spot, practical insights.

The last part of the session will conclude with a real-world demonstration where the LLM successfully collects logs in real-time including the 5G codebase, to serve as a training dataset to diagnose and rectify any challenging error in this Edge 5G network, showcasing its capability to analyze and suggest corrective actions effectively. This approach not only enhances operational efficiency but also optimizes response strategies in 5G telecommunications infrastructure.