Overview of Large Language Models

This article focuses on typical large language models and conducts an in-depth analysis of their definitions, typical models and the development status of their technologies. As an advanced artificial intelligence technology, large language models are trained based on huge parameters and massive data, and achieve natural language processing with the converter structure as the core. This article elaborates on the developing history and features of various large language models. Meanwhile, it is pointed out that the development of large language model technology faces problems as well as challenges such as non-authentic output and security risks, and in the future, it will develop in the directions of lightweight, multimodal and vertical specialization. The research aims to provide references for the further study and application of large language models and contribute to promoting the healthy development of this technology in various fields.