skindhu/build-a-large-language-model-cn

This repository is a Chinese translation of the book "Build a Large Language Model (From Scratch)" by Sebastian Raschka, published by Manning. The original book teaches readers how AI language models work by walking through the process of building one from the ground up, covering how text is prepared, how the core attention mechanism works, how a GPT-style model is assembled, how it is trained on unlabeled text, and how it is then fine-tuned for specific tasks like classification or following instructions. The translator made the book available here so that Chinese-speaking readers who find the English original difficult can access the material. The translation process used an AI assistant for an initial rough pass, followed by an AI review step, and then a final round of manual editing by the translator to check accuracy and fluency. The translator notes that translation is an interpretation of the original, so readers with a solid English background are encouraged to read the original when possible. The repository contains three main folders: one with the original English e-book files, one with the translated Chinese version organized chapter by chapter, and one with all the figures from the original book also translated into Chinese. The chapters cover understanding language models, processing text data, implementing the attention mechanism, building a text-generation GPT model, pre-training on unlabeled data, fine-tuning for classification tasks, and fine-tuning to follow instructions. Several appendices cover the PyTorch library basics, reference materials, exercise answers, advanced training techniques, and a method for efficient fine-tuning called LoRA. The project also links to a companion code repository for the book where all the practical coding exercises can be found. The translator maintains a Chinese-language blog and WeChat public account with additional articles on AI topics.