Verified65% confidenceFactExact time
Large 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.
3
Sources
65%
Confidence
Long-term
Relevance
7/24/2026
First Seen
Sources
RAG检索增强生成详解：原理、工作流程与核心优势
bilibiliAI小公举-timi7/9/2026
Related Claims
VerifiedLarge 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.81% similarUnverifiedLarge language models learn linguistic patterns rather than factual databases during training, and may therefore confidently generate non-existent case citations, incorrect statutory numbers, or fabricated contractual precedents.80% similarUnverified大语言模型是无状态的，每次对话结束后默认不保留记忆，且训练数据存在截止日期无法获取实时信息78% similarUnverified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78% similarUnverified大语言模型存在三大缺陷：知识陈旧（存在截止日期，无法获取实时数据）、缺乏私有数据、过于被动76% similar
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