LLMs-from-scratch

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

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💡 Why It Matters

LLMs-from-scratch addresses the need for engineers to build custom large language models tailored to specific applications. This open source tool for engineering teams is particularly beneficial for ML/AI teams looking to develop generative AI solutions without relying on third-party APIs. With a maturity level that suggests it is production-ready, teams can implement it with confidence. However, it may not be the right choice for those seeking a quick, out-of-the-box solution, as it requires a deeper understanding of model architecture and training. The repository has gained 6,897 stars (8.8%) over 96 days, indicating strong adoption and community interest, which is a positive sign for its ongoing development and support.

🎯 When to Use

This repository is a strong choice when teams want to create a bespoke language model that meets specific requirements and have the expertise to implement it. Teams should consider alternatives if they need a quicker solution or lack the resources for extensive model training.

👥 Team Fit & Use Cases

This tool is ideal for machine learning engineers and data scientists who are focused on developing AI-driven products. It is often integrated into applications requiring advanced natural language processing capabilities, such as chatbots and automated content generation systems.

🎭 Best For

🏷️ Topics & Ecosystem

ai artificial-intelligence chatbot chatgpt deep-learning from-scratch generative-ai gpt language-model large-language-models llm machine-learning neural-networks python pytorch transformers

📊 Activity

Latest commit: 2026-02-09. Over the past 97 days, this repository gained 6.9k stars (+8.8% growth). Activity data is based on daily RepoPi snapshots of the GitHub repository.