Unverified50% confidenceFactExact time
Large language models are black-box systems whose outputs are produced by the combined action of tens or even hundreds of billions of parameters, and there is currently no reliable method to infer from a single output a brand's share of the training data or the model's preferences.
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10/14/2026
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UnverifiedLarge 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.78% similarUnverified大语言模型的参数量从数十亿到数千亿不等，本质上是对训练数据中统计规律的压缩存储74% 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73% similarVerifiedLarge language models do not store raw text in the traditional sense during training; instead, they encode statistical patterns into billions of parameters through the backpropagation algorithm.73% similarUnverifiedLarge models and machine learning systems are inherently black-box in nature, and even the engineers who build them often cannot explain why an LLM gives a wrong answer or produces different results on the same input.72% similar
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