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)

预训练

Premium

从样本数据开始,完成 29M BentoLM 的完整预训练闭环

Log in to continue reading

This is premium content. Please log in to access the full article.

Table of Contents

概述
章节内容