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预训练Pre-training

Pre-training

  • 核心概念Core concepts
  • 第四站 · 看懂Station 4 · Under the Hood
解决什么问题What problem it solves

在海量文本上做「预测下一个词」,这是模型学到世界知识的阶段。Predicting the next token over vast text — the stage where a model absorbs world knowledge.

这是什么What it is

第一批训练,目标单一:续写文本。成本以亿计。

The first training run, with a single objective: continue the text. It costs hundreds of millions.

为什么需要知道Why it matters

它解释了为什么模型「什么都知道一点」。那是泛读的结果,不是为你的任务专门学的。It explains why a model "knows a bit about everything": that is the result of reading widely, not learning for your task.

出处Sources
  • BERT(论文)BERT: Pre-training of Deep Bidirectional Transformers ↗
  • Hugging Face 课程(Transformer)How do Transformers work? (Hugging Face NLP course) ↗
  • 从业者深版:预训练专题(AI 模型站)Practitioner deep-dive: pre-training (AI Models site) ↗