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2025 Midwest RCD Annual Meeting
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Several HPC centers are exploring how to provide and user LLM-based chat interfaces for both research and client support use cases. We will present, share lessons learned and answer your questions for three such projects in this session.

  1. QA Tool for ACCESS - an AI-driven information retrieval system using Retrieval-Augmented Generation (RAG) and LLMs, delivering relevant, independent query responses while continuously improving through feedback and data updates.
  2. AnvilGPT is a Generative AI platform hosted at Purdue University through the Anvil ACCESS resource. It offers researchers nationwide access to various open-source large language models via chat and API interfaces, aiming to enhance productivity and develop AI-enabled scientific workflows.
  3. The hpcGPT project seeks to transform HPC user support by creating a generative AI-powered question-answering service. This conversational interface will address policy inquiries, technical suggestions, performance issues, and debugging.
Moderators
avatar for Karen Tomko

Karen Tomko

Director of Research Software Applications, Ohio Supercomputer Center
Speakers
avatar for Vikram Gazula

Vikram Gazula

Research Facilitator, University of Kentucky
EG

Erik Gough

Senior Research Scientist, Purdue University
avatar for Heechang Na

Heechang Na

Scientific Applications Operations Manager, Ohio Supercomputer Center
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