Unverified90% confidenceFactExact time
LLMs are pre-trained on massive text corpora encompassing trillions of words from books, web pages, and academic papers, learning statistical relationships and semantic patterns between words
1
Sources
90%
Confidence
Long-term
Relevance
8/2/2026
First Seen
Sources
From Medieval Grimoires to AI: Humanity's Thousand-Year Quest for Instant Knowledge
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Related Claims
UnverifiedLarge language models learn statistical patterns and expression patterns through unsupervised learning on massive text corpora70% similarUnverified大语言模型的原生能力边界由训练数据的模态和格式决定，标准LLM的输入输出均为纯文本Token序列，天然无法处理PDF、DOCX、XLSX等二进制文件格式68% similarUnverifiedLarge language models (LLMs) are based on the Transformer architecture, use self-attention mechanisms to capture long-range dependencies in text, and typically range from billions to trillions of parameters.68% similarUnverifiedLarge language models, through self-supervised learning on massive text data, are essentially complex statistical inductors that excel at capturing the central tendencies of existing human knowledge67% similarUnverified现代 LLM 使用子词分词算法，最常见的包括 OpenAI 提出的 BPE 和 Google 提出的 SentencePiece65% similar
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