Exploring the Impact of Large Language Models
on Efficiency and Innovation across Education and
Industries: Applications, Challenges, and Ethical
Considerations

Shanice Robinson Blacknell

Research Article

Exploring the Impact of Large Language Models on Efficiency and Innovation across Education and Industries: Applications, Challenges, and Ethical Considerations

Yi-Hang Hsu¹, Yu-Yin Hsu² and Li-Shiue Gau²*

¹Doctoral Student, Department of Business Administration, Asia University, Taichung, Taiwan

²Asia University, Taichung, Taiwan

Corresponding Author

Received Date: July 27, 2024; Published Date: August 05, 2024

Abstract

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.

Keywords: Large Language Model; ChatGPT; Knowledge Absorptive Capacity; Natural Language Processing

Article Details

Citation

Yi-Hang Hsu, Yu-Yin Hsu and Li-Shiue Gau*. Exploring the Impact of Large Language Models on Efficiency and Innovati3n across Education and Industries: Applications, Challenges, and Ethical Considerations. Iris J of Edu & Res. 3(5): 2024. IJER.MS.ID.000574.