The session will build on some preliminary CDRH conversations that took place in the fall centered on AI-assisted handwritten text recognition, the ethical and environmental costs of AI, and emerging interest in the application of Retrieval Augmented Generation or RAG tools that could help us train an existing large language model using extant CDRH data sources to facilitate research on those collections.
The CDRH community as well as some colleagues from other units and colleges are invited to join. No prior background or experience with AI or LLMs is required. A space for DH practitioners and other interested parties to work together to foster more cross-disciplinary research collaborations.
The research brainstorming session will be facilitated by Tisha Mullen and Heather Borck from the Office of Research & Innovation.