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Building a Large Language Model from Scratch: Deep Dive into BPE Tokenization and Autoregressive Generation Principles

This article introduces an educational project that implements core components of a large language model from scratch, covering the BPE tokenization algorithm, encoding/decoding processes, and next-word prediction mechanism, helping developers gain an in-depth understanding of the internal working principles of LLMs.

大语言模型BPE分词自然语言处理深度学习自回归生成机器学习Python教育
Published 2026-05-10 06:26Recent activity 2026-05-10 06:29Estimated read 1 min
Building a Large Language Model from Scratch: Deep Dive into BPE Tokenization and Autoregressive Generation Principles
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Section 01

导读 / 主楼:Building a Large Language Model from Scratch: Deep Dive into BPE Tokenization and Autoregressive Generation Principles

Introduction / Main Floor: Building a Large Language Model from Scratch: Deep Dive into BPE Tokenization and Autoregressive Generation Principles

This article introduces an educational project that implements core components of a large language model from scratch, covering the BPE tokenization algorithm, encoding/decoding processes, and next-word prediction mechanism, helping developers gain an in-depth understanding of the internal working principles of LLMs.