Jerid Francom

Associate Professor, Spanish Department

francojc@wfu.edu

Cohorts: Language and Literature, Research on Students and AI

Seminar Dates and Times:

  • TBD

Location: TBD

This seminar is for faculty who are interested in exploring the potential of fine-tuned Large Language Models (LLMs) for enhancing teaching and learning. In a nutshell, fine-tuning involves training an existing LLM (ex. ChatGPT) on a specific dataset to adapt it to perform targeted tasks more effectively and accurately, such as providing personalized feedback on student writing, generating case studies in psychology, creating realistic economic scenarios, or developing adaptive problem sets in mathematics. The seminar will provide specific examples of fine-tuned LLM applications in different disciplines and address ethical considerations and best practices. Participants will also have the opportunity to brainstorm potential applications of fine-tuned LLMs in their courses and will leave the seminar with a concrete plan for integrating these models into their teaching practice. This seminar is suitable for faculty members who would like to go beyond the basics of standard chat applications.


Name:
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