Making Large Language Models More Reliable and Beneficial: Taking ChatGPT as a Case Study
- Resource Type
- Periodical
- Authors
- Majeed, A.; Hwang, S.O.; Lin, H.
- Source
- Computer. 57(3):101-106 Mar, 2024
- Subject
- Computing and Processing
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
- Language
- ISSN
- 0018-9162
1558-0814
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.