Unverified50% confidenceFactExact time
大语言模型的知识固化在权重参数中，知识更新必须重新训练或微调，无法像数据库那样实时写入
1
Sources
50%
Confidence
Long-term
Relevance
7/12/2026
First Seen
Sources
Getting Started with LangChain: LLM Invocation, Agent Practice, and Environment Setup Guide
bilibiliAI大模型小将7/10/2026
Related Claims
UnverifiedLarge language models have two inherent weaknesses: their knowledge is cut off at training time and they cannot obtain the latest information, and they can only generate text and cannot directly perform actions.79% similarUnverifiedLarge language models are based on historical training data and have knowledge limitations including the inability to access real-time data and the inability to reach non-public proprietary enterprise data.78% similarUnverifiedThe knowledge of large language models comes from training data, primarily from publicly available internet information, and they cannot access enterprise internal data.72% similarUnverifiedA large language model's parametric knowledge is frozen once training is complete, making it unable to access the latest information.70% similarUnverifiedLarge language models cannot reliably distinguish the boundary between system instructions and user/external content during inference—this is a fundamental limitation of prompt injection, similar in principle to SQL injection.70% similar
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