Exploring the Impact of Large Language Models on Efficiency and Innovation across Education and Industries: Applications, Challenges, and Ethical Considerations
This paper explores the emergence of Large Language Models (LLMs) in combination with easy-to-use interfaces such as ChatGPT and Copilot revolutionizing productivity in computing and processing. We conducted a user study in the education and industries to assess its potential impact and the opportunities of innovation. Specifically, the key challenge for LLM is to determine what constitutes a good text and natural language processing (NLP) techniques within massive computational infrastructures to communicate efficiently and affect institutions’ innovation outputs.
Authors
- Li-Shiue Gau
Institutions
- Asia University (TW)
- San Francisco State University (US)
Publication Details
- Journal
- Iris Journal of Educational Research
- Published
- 2024-08-05
- DOI
- https://doi.org/10.33552/ijer.2024.03.000573
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.12