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.
翻译:本文件对GPT-3进行了介绍性调查。我们探讨了这一技术背后的一些历史发展动态,GPT-3的一些关键特征,并讨论了机器学习模式和所使用的数据集。我们调查了学术和商业两方面在各个领域应用GPT-3的努力,如发展对话性AI聊天机、软件开发、创造性工作、域知识和商业生产力。我们讨论了GPT-3面临的一些挑战,如培训复杂性、偏见和幻觉/错误的答案等问题。我们还讨论了该领域未来的研究机会。