GPT-3: What’s it good for?

作者：Robert Dale · 发表于：Natural Language Engineering · 年份：2020 · DOI：10.1017/s1351324920000601 · 被引用次数：438 · 研究领域：Machine Learning in Healthcare、Topic Modeling

Abstract GPT-3 made the mainstream media headlines this year, generating far more interest than we’d normally expect of a technical advance in NLP. People are fascinated by its ability to produce apparently novel text that reads as if it was written by a human. But what kind of practical applications can we expect to see, and can they be trusted?