Institutional Platform for Secure Self-Service Large Language Model Exploration

This paper introduces a user-friendly platform developed by the University of Kentucky Center for Applied AI, designed to make large, customized language models (LLMs) more accessible. By capitalizing on recent advancements in multi-LoRA inference, the system efficiently accommodates custom adapters for a diverse range of users and projects. The paper outlines the system's architecture and key features, encompassing dataset curation, model training, secure inference, and text-based feature extraction.
We illustrate the establishment of a tenant-aware computational network using agent-based methods, …

applied ai center cs.ai cs.cl cs.cr diverse exploration inference language language model language models large language large language model llms lora outlines paper platform projects self-service service university