Description
With the central focus of making it easier for wind band conductors to find repertoire written by composers from underrepresented communities, this pilot study aimed to incorporate a ChatGPT widget within The Wind Repertory Project database, allowing it to quickly pull accurate information from the corresponding website, www.windrep.org. During this research, I created a custom GPT that is directly linked to The Wind Repertory Project database and am in progress of adding the before mentioned widget. This paper documents how I obtained the knowledge necessary to link ChatGPT with The Wind Repertory Project website as well as provides a brief history of artificial intelligence (AI) and the evolution of ChatGPT.
Details
Title
- Using ChatGPT to Aid in Concert Band Music Selection: A Pilot Study
Contributors
- Scott, Anna (Author)
- Caslor, Jason (Thesis advisor)
- Duncan, Jamal (Committee member)
- Hudson, James G. (Committee member)
- Reymore, Lindsey (Committee member)
- Arizona State University (Publisher)
Date Created
The date the item was original created (prior to any relationship with the ASU Digital Repositories.)
2024
Subjects
Resource Type
Collections this item is in
Note
- Partial requirement for: D.M.A., Arizona State University, 2024
- Field of study: Music