학술논문

Making Large Language Models More Reliable and Beneficial: Taking ChatGPT as a Case Study
Document Type
Periodical
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
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.