Unverified50% confidenceFactExact time
Large models inherently lack prior knowledge of specific enterprise business logic, and the semantic layer serves as a domain dictionary for the model, enabling it to understand the specific meaning of business terminology.
1
Sources
50%
Confidence
Long-term
Relevance
10/6/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedLarge models exhibit hallucination phenomena, fabricating non-existent product terms, calculation formulas, or regulatory rules in an affirmative tone.70% similarUnverifiedThe outdatedness of a model's values is not merely a knowledge gap problem; what is hardened is the model's cognitive structure for analyzing problems and its logic of judgment.70% similarUnverified大语言模型的知识是通用性的，不了解具体项目上下文，面对已有系统时缺乏项目特定上下文会导致输出退化为有根据的猜测69% similarUnverifiedA path that allows different alignment objectives to coexist conflicts with the commercial logic of the current mainstream large model paradigm of one model serving the world.68% similarVerifiedThe ability of a large model to actively infer design specifications from platform context technically falls under Contextual Reasoning, which internalizes industry common sense from massive amounts of data rather than relying on hard-coded rules.68% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/979919API
curl https://kongchang.com/api/v1/knowledge/claims/979919MCP
get_claim(id=979919)