REGISTER: https://www.nihlibrary.nih.gov/training/LLMs
Join the NIH Library for a discussion about artificial intelligence (AI) large language models (LLMs) at NIH. The discussion will be presented online, June 11, 1:00‒2:30 p.m.
LLMs are AI algorithms that use deep learning and extensive data sets to create new content. They offer many possible applications in the biomedical field for clinicians, patients, and researchers. Register to attend and learn about current use cases of LLMs at NIH. The program includes brief presentations by our panelists (see below), followed by an open discussion.
- Alicia Lillich, NIH Library
Introduction to Large Language Models (LLMs)
- Trey Saddler, NIEHS
ToxPipe: Semi-Autonomous AI Integration of Diverse Toxicological Data Streams
- Mike A. Nalls, Ph.D., NIA
LLMs to Accelerate Tedious Tasks in Research
- Nathan Hotaling, Ph.D., NCATS
Applications of Retrieval Augmented Generative AI to Scientific Discovery, Scientific Management, and Code Development and Maintenance at NCATS
- Nicole Sroka, NLM
NLM GenAI Pilot: Customer Response Case Study
- Steevenson Nelson, Ph.D., OD
Trans IRP Contract Tool (Updates)
- Nick Asendorf, Ph.D., NHLBI
NHLBI Chat
For questions about this event, contact Joelle Mornini, [email protected].
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