In 2023 the development of large generative AI models achieved a series of breakthroughs. This paper reviews the key technologies of large models that have received significant attention, including the emergent abilities of large language model(LLM), development of multimodal LLMs, as well as alignment and knowledge enhancement techniques of large models. The paper also introduces the vertical applications of generative AI in various fields such as healthcare and education, and its role in advancing the development of AI agents and metaverse technologies. Additionally, the challenges and developmental trends in generative AI are discussed, including issues related to data privacy, biased values, copyright disputes, and fake news propagation.

generative AI  /  large language model(LLM)  /  artificial intelligence generated content(AIGC)  /  AI safety