A Comprehensive Review of Large Language Models and Security Intelligence Analysis
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.
artificial Intelligencelarge language modelsbasic general theoriesintelligent interaction methodssecurity protection strategies
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