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Date of Award
5-6-2026
Document Type
Video Recording
Abstract
Numerous academic libraries offer instruction and guidance on the appropriate use of service-based generative AI tools such as ChatGPT in education and scholarship. In addition to teaching users about these tools, libraries also have an opportunity to teach users how to run generative AI language models locally - that is, setting up language model inference on local hardware. Running models locally can offer unique advantages such as offline functionality, increased privacy, and customization. This session provides an overview of popular options for running local models, along with initial lessons learned from developing tutorials and instructional approaches.
Recommended Citation
DuBose, Rachel and Scalfani, Vincent, "Initial Insights on Teaching with Local Generative AI Language Models" (2026). 2026 Southeastern Conference (SEC) AI Library Summit. 18.
https://scholarsjunction.msstate.edu/sec-ai-2026/18
