Expired60% confidenceFactTime unknown
The knowledge of large language models comes from training data, primarily from publicly available internet information, and they cannot access enterprise internal data.
2
Sources
60%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026(expired)
Sources
LangChain Core Concepts Explained: A Complete Guide to Components, Chains, and Agents
bilibiliAI应用开发入门
Related Claims
UnverifiedLarge 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.84% similarVerifiedThe internet's supply of high-quality text data for training large language models has been largely consumed.80% similarUnverifiedTraining data for large language models includes both authoritative sources like Wikipedia and unreliable content like forum spam and deliberate fabrications77% similarVerifiedLarge 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.75% similarUnverified大语言模型能识别网络梗的根本原因在于其训练语料中包含了大量互联网论坛、社交媒体和百科内容73% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/55346API
curl https://kongchang.com/api/v1/knowledge/claims/55346MCP
get_claim(id=55346)