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Making Large Language Models More Reliable and Beneficial: Taking ChatGPT as a Case Study
- Authors
- Majeed, Abdul; Hwang, Seong Oun
- Issue Date
- Mar-2024
- Publisher
- IEEE COMPUTER SOC
- Keywords
- Large language models; Reliability engineering; Chatbots; Artificial intelligence; Human factors; Open systems; Deep learning; Context awareness; Question answering (information retrieval); Market research; Technology forecasting; Modeling; Stakeholders
- Citation
- COMPUTER, v.57, no.3, pp 101 - 106
- Pages
- 6
- Journal Title
- COMPUTER
- Volume
- 57
- Number
- 3
- Start Page
- 101
- End Page
- 106
- ISSN
- 0018-9162
1558-0814
- Abstract
- This article suggests practical ways to make large language models more reliable and beneficial by taking ChatGPT as a case study. Specifically, we describe ChatGPT's workflow and promised services and highlight the perils requiring the immediate attention of ChatGPT stakeholders.
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Related Researcher
- MAJEED, ABDUL
- College of IT Convergence (컴퓨터공학부(컴퓨터공학전공))