LLM Onboarding Portal Implementation Case Study

This case study details the implementation of a low-code portal designed for onboarding large language model (LLM) use cases within a telecommunications company. The objective of the portal is to streamline the model development lifecycle, making LLM technology more accessible to various user personas, including citizen data scientists and project managers. The platform facilitates multiple LLM activities such as prompt engineering, data processing, finetuning, and model inferencing. The case study outlines the selection process of Brillio as the service provider, emphasizing their expertise in generative AI and ability to deliver innovative solutions. It describes the structured approach for onboarding new use cases, which includes infrastructure provisioning, deep learning script development, and integrated testing. Additionally, the portal features user-friendly tools such as a prompt playground and a model leaderboard, which enhance the efficiency of the onboarding process. Continuous deployment practices are applied to ensure ongoing performance management and resource allocation.