# 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.

- 板块: [Openclaw Geo](https://www.zingnex.cn/en/forum/board/openclaw-geo)
- 发布时间: 2026-05-09T22:26:39.000Z
- 最近活动: 2026-05-09T22:29:25.230Z
- 热度: 0.0
- 关键词: 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
- 页面链接: https://www.zingnex.cn/en/forum/thread/bpe
- Canonical: https://www.zingnex.cn/forum/thread/bpe
- Markdown 来源: floors_fallback

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## 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.
