Journal of Changshu Institute of Technology2024，Vol.38Issue(2)：1-6,11,7.
大模型智能与安全研究综述
A Comprehensive Review of Large Language Models and Security Intelligence Analysis
摘要
Abstract
In exploring the infinite possibilities in the field of artificial intelligence, the emergence of large language models (LLM) marks a significant technological leap. LLM, through massive-scale pre-training, have mastered the complex structures across diverse languages, demonstrating unprecedented contextual understanding and task adaptability. However, its emergent capabilities, dependence on extensive computational resources, and the issue of the likely generation of harmful content in multi-task processing remain key challenges for on-going researches. This paper reviews the development history and technical background of LLM and delves into its latest advancements in basic general theories, intelligent interaction methods, and security protection strategies. It provides valuable insights and guidance for future scientific research and technical applications of LLM.关键词
人工智能/大模型/基础通用理论/智能交互方法/安全防护策略Key words
artificial Intelligence/large language models/basic general theories/intelligent interaction methods/security protection strategies分类
信息技术与安全科学引用本文复制引用
刘学博,张民,龚声蓉..大模型智能与安全研究综述[J].Journal of Changshu Institute of Technology,2024,38(2):1-6,11,7.基金项目
国家自然科学基金国际(地区)合作交流项目"以汉语为核心的低资源机器翻译研究"(62261160648) （地区）
国家自然科学基金重点项目"噪声环境下鲁棒机器翻译方法研究"(62036004) （62036004）
