Unverified50% confidenceFactExact time
Modern LLMs typically contain billions to hundreds of billions of parameters and are pre-trained on massive amounts of text based on the Transformer architecture.
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Long-term
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9/5/2026
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UnverifiedTaking Transformer-class models as an example, a single complete training run may involve millions to billions of parameter updates.79% similarUnverifiedMainstream LLMs are based on the Transformer architecture and acquire capabilities through self-supervised learning of next-token prediction on massive text data.78% similarUnverified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78% similarUnverifiedA large language model (LLM) is a deep neural network model based on the Transformer architecture and pre-trained on massive amounts of data.74% similarUnverified现代Embedding模型通常基于Transformer架构，通过对比学习在大规模文本对上训练，向量维度通常在768到1536之间70% similar
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