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Prompt-Engineering & Fine-Tuning in R

with Dr. Eric Stokan

Location

Public Policy : 438

Date & Time

December 12, 2025, 12:00 pm1:30 pm

Description

REGISTER

Lunch will be provided for registered attendees.


1. Prompt engineering techniques
2. Discussion of fine-tuning techniques
3. Evaluation techniques for estimating the effectiveness of LLMs and LRMs

This session will focus on the following topics:

flyer with text from post and photo of Dr. Eric Stokan in front of a brick building.
Hosted by the Center for Social Science Scholarship and cosponsored by the Division of Information Technology, the Center for Scalable Data and Computational Science, and CGC-SCIPE.

CS3 sponsored events are open for full participation by all individuals regardless of race, color, religion, sex, national origin, or any other protected category under applicable federal law, state law, and the University's nondiscrimination policy.


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