weiruihhh/cs336_note_and_hw

Covers pre-training data, Tokenizer, Transformer, MoE,distributed training, Scaling Laws, inference & alignment .6 progressive code assignments for full-stack LLM learning | 涵盖预训练数据、分词器、Transformer、MoE、分布式训练、缩放定律、推理与对齐，6 项渐进代码作业，掌握 LLM 全栈知识

VIP cheatsheet for Stanford's CME 295 Transformers and Large Language Models

Practical course about Large Language Models.

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

《动手学大模型Dive into LLMs》系列编程实践教程

从无名小卒到大模型（LLM）大英雄~ 欢迎关注后续！！！

Student version of Assignment 1 for Stanford CS336 - Language Modeling From Scratch

中文翻译的 Hands-On-Large-Language-Models (hands-on-llms)，动手学习大模型