LLMs-from-scratch

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

107.4k
Stars
+29.0k
Gained
37.1%
Growth
Jupyter Notebook
Language

💡 Why It Matters

The LLMs-from-scratch repository addresses the challenge of building a ChatGPT-like large language model in PyTorch, providing engineers with a clear, step-by-step implementation guide. This resource is particularly beneficial for ML and AI teams looking to deepen their understanding of generative AI and fine-tuning techniques. With a maturity level that suggests it is suitable for experimentation and prototyping, it offers a solid foundation for production-ready solutions. However, teams should be cautious if they require a fully optimised and scalable solution out of the box. Notably, this repository has seen a remarkable growth trend of 37.1% over the past 351 days, indicating its increasing relevance in the open source community.

🎯 When to Use

This repository is a strong choice for teams looking to develop custom LLMs and enhance their AI capabilities from scratch. However, teams needing a more mature, production-ready solution might consider established frameworks or libraries.

👥 Team Fit & Use Cases

This tool is particularly useful for machine learning engineers, data scientists, and AI researchers who are involved in developing and fine-tuning language models. It is typically integrated into AI-driven applications, chatbots, and other systems that require natural language processing capabilities.

🎭 Best For

🏷️ Topics & Ecosystem

ai artificial-intelligence attention-mechanism deep-learning finetuning from-scratch generative-ai gpt instruction-tuning language-model large-language-models llm machine-learning natural-language-processing pretraining python pytorch tokenizer transformers

📊 Activity

Latest commit: 2026-10-02. Over the past 350 days, this repository gained 29.0k stars (+37.1% growth). Activity data is based on daily RepoPi snapshots of the GitHub repository.