CS224n-Winter-2026-Learning-Notes

by lvsir18 · indexed from github

这是一套围绕 Stanford CS224N: Natural Language Processing with Deep Learning 整理的系统课程笔记。仓库以课程 19 节 Lecture 为主线,从 Word Vectors、RNN、Attention、Transformer 一路延伸到 Pretraining、Post-training、PEFT、RAG、Agents、Reasoning、Multilinguality、Interpretability 与 Multimodality。

From Word Vectors to Reasoning Systems. CS224N is not just a course about NLP models — it is a roadmap of how modern language intelligence was built.

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