skindhu/Build-A-Large-Language-Model-CN

《Build a Large Language Model (From Scratch)》是一本深入探讨大语言模型原理与实现的电子书，适合希望深入了解 GPT 等大模型架构、训练过程及应用开发的学习者。为了让更多中文读者能够接触到这本极具价值的教材，我决定将其翻译成中文，并通过 GitHub 进行开源共享。

What it solves

This project provides a comprehensive Chinese translation of the book Build a Large Language Model (From Scratch), helping Chinese-speaking developers and researchers overcome language barriers to master the fundamental principles of Large Language Models (LLMs).

How it works

The project offers a structured, chapter-by-chapter translation of the original textbook, covering everything from data processing and attention mechanisms to building a GPT model from scratch, pre-training, and fine-tuning. It includes all original code examples and translated diagrams, encouraging readers to follow the tutorials hands-on to understand how these models function at a technical level.

Who it’s for

It is designed for AI researchers, software developers, and students who want to move beyond using AI tools to understand the underlying architecture and implementation details of LLMs, such as Transformer models and training loops.

Highlights

  • Complete Chinese translation of the textbook, including all diagrams and technical content.
  • Includes practical code implementations for building and training a GPT model from scratch.
  • Covers advanced topics like LoRA (Low-Rank Adaptation) for parameter-efficient fine-tuning.
  • Provides supplementary appendices on PyTorch and advanced training techniques.
  • Includes a guide for troubleshooting common access issues with GitHub-hosted resources.

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