Unverified50% confidenceFactExact time
在references文件夹中注入最新文档可突破大语言模型训练数据的时间截止点（Knowledge Cutoff）限制
1
Sources
50%
Confidence
Long-term
Relevance
7/14/2026
First Seen
Sources
Agent Skills入门：AI技能包的结构、原理与实战用法
Related Claims
Unverifiedreferences 目录解决了大语言模型知识截止和领域专有知识缺失的固有局限76% similarUnverified当训练数据中某些文本出现频率极高时，大语言模型可能产生记忆化（Memorization）现象，能够近乎逐字输出特定段落69% similarUnverifiedLarge 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.69% similarUnverifiedAfter large language models exceed a critical scale, new capabilities that were not explicitly taught during the training phase emerge, such as multi-step reasoning, cross-lingual analogy, and tool-use planning.68% similarUnverified当前大语言模型存在训练数据时间截止点，无法感知截止日期后出现的新网络梗，即便结合RAG检索也难以理解圈层网络语言的深层语境68% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/503848API
curl https://kongchang.com/api/v1/knowledge/claims/503848MCP
get_claim(id=503848)