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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
Project Samples
