llms-from-scratch-cn is an educational open-source project designed to teach developers how to build large language models step by step using practical code and conceptual explanations. The repository provides a hands-on learning path that begins with the fundamentals of natural language processing and gradually progresses toward implementing full GPT-style architectures from the ground up. Rather than focusing on using pre-trained models through APIs, the project emphasizes understanding the internal mechanisms of modern language models, including tokenization, attention mechanisms, transformer architecture, and training workflows. Through a collection of notebooks, code examples, and translated learning materials, users can explore how to implement components such as multi-head attention, data loaders, and training pipelines using Python and PyTorch.

Features

  • Step-by-step tutorials for building large language models from scratch
  • Hands-on notebooks implementing GPT-style architectures
  • Educational explanations of transformer and attention mechanisms
  • Training pipelines for pretraining models on unlabeled text data
  • Python and PyTorch implementation examples for NLP systems
  • Structured learning path from theory to practical model construction

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License

MIT License

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Additional Project Details

Programming Language

Python

Related Categories

Python Large Language Models (LLM)

Registered

2026-03-05