关键词: 大语言模型, 风险挑战, 技术监管, 应用前景, 通用人工智能

Abstract: Abstract: In view of the rapid development of large language model (LLM) technology, a comprehensive analysis was conducted on its technical application prospects, risks and challenges which has great reference value for the development and governance of artificial general intelligence (AGI). Firstly, with representative language models such as Multi-BERT (Multilingual Bidirectional Encoder Representations from Transformer), GPT (Generative Pre-trained Transformer) and ChatGPT (Chat Generative Pre-Trained Transformer), the development, core technologies and evaluation system of LLM were reviewed. Then, a detailed analysis of LLM on technical limitations and security risks was conducted. Finally, suggestions were put forward for technical improvement and policy follow-up of the LLM. The analysis indicates that as a developing status, the current LLM still produce non-truthful and biased output, lack real-time autonomous learning ability, require huge computing power, highly rely on data quality and quantity, and tend towards monotonous language style. There are security risks related to data privacy, information security, ethics, and other aspects. Future developments can continue to improve technically, from "large-scale" to "lightweight", from "single-modal" to "multi-modal", from "general-purpose" to "vertical"; For real-time follow-up in policy, targeted regulatory measures should be implemented to regulate their applications and developments.

Key words: Keywords: Large Language Model (LLM), risk challenge, technology supervision, application prospect, Artificial General Intelligence (AGI)