To address the challenges of digital intelligence in the digital economy,
artificial intelligence-generated content (AIGC) has emerged. AIGC uses
artificial intelligence to assist or replace manual content generation by
generating content based on user-inputted keywords or requirements. The
development of large model algorithms has significantly strengthened the
capabilities of AIGC, which makes AIGC products a promising generative tool and
adds convenience to our lives. As an upstream technology, AIGC has unlimited
potential to support different downstream applications. It is important to
analyze AIGC's current capabilities and shortcomings to understand how it can
be best utilized in future applications. Therefore, this paper provides an
extensive overview of AIGC, covering its definition, essential conditions,
cutting-edge capabilities, and advanced features. Moreover, it discusses the
benefits of large-scale pre-trained models and the industrial chain of AIGC.
Furthermore, the article explores the distinctions between auxiliary generation
and automatic generation within AIGC, providing examples of text generation.
The paper also examines the potential integration of AIGC with the Metaverse.
Lastly, the article highlights existing issues and suggests some future
directions for application.

本文深入讨论了基于人工智能技术生成内容的 AIGC，对其定义、关键条件、可重要的现有和未来特性、庞大的预训练模型带来的优势、工业链以及 AIGC 内部辅助生成和自动生成之间的区别进行了探讨，最后探讨了 AIGC 与元宇宙的潜在整合，旨在揭示 AIGC 的现有问题并提供未来应用方向。