A Conversation with Your Own Data with LLMs Using NSF JetStream2 and CyVerse

CyVerse Webinar Series - Spring 2024


11 a.m. to noon, Feb. 23, 2024


Arrival of ChatGPT has made interfaces like chatbots popular for asking questions about any topic and getting meaningful responses. With good prompts to guide them, chatbots can enable a purposeful conversation with relevant information from the broad knowledgebase and specific training materials. Such private Large Language Models (LLM), however, cannot readily interact with your private data sets and documents, thus limiting their utility for many researchers, educators, and students. Recently, many new open models like LLAMA and Mixtral that can run on your own computational infrastructure have become available. This allows users to build new analysis methods with these open LLM’s and integrate them with their private data sets and chatbots, enabling practical and time-saving uses.

In this webinar, presenters Nirav Merchant and Mithun Paul of UArizona Data Science Institute (DSI), and Tyson Swetnam of UArizona Institute for Computation and Data Insights (ICDI) show how you can use the no-cost NSF-funded JetStream2 A100 GPUs and tools from CyVerse to build your own private and secure GPT infrastructure. Learn how to have a conversation with your data.

Register for this webinar