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DTSTART;TZID=America/New_York:20241118T161500
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UID:submissions.supercomputing.org_SC24_sess752_ws_bphpcte117@linklings.co
 m
SUMMARY:Education and Support of Large Language Models in a Research Insti
 tution
DESCRIPTION:Juan Jose Garcia Mesa and Gil Speyer (Arizona State University
 )\n\nAs the capabilities of large language models (LLMs) continue to expan
 d, with more accurate and powerful models being released monthly, research
 ers and educators are increasingly eager to incorporate these tools. The g
 rowing demand for this technology reflects its transformative potential in
  natural language and its impact on scientific research. However, as more 
 users seek to harness the power of LLMs, the need to provide comprehensive
  education and scalable support becomes ever more critical. Our institutio
 n has recognized this challenge and developed a support framework to educa
 te users through educational events, consultations, and project support. W
 e have implemented several key strategies to address the growing need for 
 LLM support, including deploying Jupyter Lab sessions using Open OnDemand 
 for seamless HPC access and integrating cloud-based solutions via Jetstrea
 m2. We provide insights into our approach, detailing how we empower resear
 chers and educators to leverage the capabilities of LLMs in their diverse 
 applications.\n\nTag: Distributed Computing, Education, Emerging Technolog
 ies\n\nRegistration Category: Workshop Reg Pass\n\nSession Chairs: Nia Ale
 xandrov (Hartree Centre); Scott Lathrop (University of Illinois Urbana-Cha
 mpaign); Julie Mullen (Massachusetts Institute of Technology (MIT), Lincol
 n Laboratory); and Nitin Sukhija (Slippery Rock University of Pennsylvania
 )\n\n
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