LogoCookLLM Docs
LogoCookLLM Docs
HomeCookLLM

Principles

Tokenization
Tokenization BasicsBPE AlgorithmGPT TokenizersBPE Training Engineering
Model Architecture
Attention Mechanisms
Position Encoding
Position Encoding BasicsRoPE Math DerivationRoPE ImplementationLength Extrapolation
GPU Programming Basics
GPU Architecture BasicsTensor LayoutTriton Basics: Vector Add
FlashAttention
Flash Attention PrinciplesFrom Naive to Auto-TuningBlock Pointers and Multi-Dim SupportCausal Masking OptimizationGrouped Query AttentionBackward Pass

Hands-on Training

X (Twitter)

数据流水线

理解 Parquet shard 如何变成训练 batch

👨‍🍳

Content is cooking...

We're preparing high-quality content for you. Stay tuned!

Table of Contents

数据配置
文件划分
流式读取
BOS 与截断
Batch padding