  This paper provides an introductory survey to GPT-3. We cover some of the
historical development behind this technology, some of the key features of
GPT-3, and discuss the machine learning model and the datasets used. We survey
both academic and commercial efforts applying GPT-3 in diverse domains such as
developing conversational AI chatbots, software development, creative work,
domain knowledge, and business productivity. We discuss some of the challenges
that GPT-3 faces such as the problems of training complexity, bias, and
hallucination/incorrect answers. We also discuss the future research
opportunities in this area.
