Verified70% confidenceFactExact time
大语言模型在训练中不以传统方式存储原始文本，而是通过反向传播算法将统计规律编码进数十亿参数中
4
Sources
70%
Confidence
Long-term
Relevance
7/12/2026
First Seen
Sources
纽约时报指控OpenAI隐匿证据，ChatGPT版权诉讼再升级
rss7/9/2026
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Unverified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84% similarUnverified大型语言模型的训练数据管道通常包含数据采集、去重、过滤、分词等阶段，每个阶段均会产生可追溯的元数据和处理日志82% similarVerified当输入信息不完整时，大语言模型会基于训练数据中最常见的模式进行补全，这在统计学上叫做最大似然估计82% similarUnverified大语言模型在预训练阶段吸收的事实以分布式方式编码在数十亿参数中，一个事实弥散在数百乃至数千个神经元的激活模式中82% similarUnverifiedLanguage models are fundamentally probabilistic text generation systems that produce content based on statistical patterns in training data rather than understanding facts80% similar
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