Unverified50% confidenceFactExact time
Large language models based on the Transformer architecture are often referred to as "black box" systems; containing billions or even trillions of parameters, even developers cannot precisely explain why the model arrives at a specific output.
1
Sources
50%
Confidence
Long-term
Relevance
9/11/2026
First Seen
Sources
Related Entities
Related Claims
Unverified主流大语言模型基于Transformer架构,通过预训练将知识压缩进数十亿乃至数千亿的模型权重中75% similarUnverified大语言模型本质上是概率系统,其输出具有随机性,内部推理过程是不透明的黑盒69% similarUnverifiedModern LLMs typically contain billions to hundreds of billions of parameters and are pre-trained on massive amounts of text based on the Transformer architecture.67% similarUnverified大模型应用开发不等于开发大模型,应用开发者将大模型作为黑盒,聚焦于输入输出的设计与调优67% similarUnverified大语言模型输出的非确定性源于 Transformer 解码阶段的随机采样机制,采样温度、Top-P 等参数决定每次生成内容可能不同67% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/897021API
curl https://kongchang.com/api/v1/knowledge/claims/897021MCP
get_claim(id=897021)