LLMs-from-scratch open source analysis

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

Project overview

⭐ 82392 · Jupyter Notebook · Last activity on GitHub: 2026-01-04

GitHub: https://github.com/rasbt/LLMs-from-scratch

Why it matters for engineering teams

LLMs-from-scratch provides software engineers with a clear, step-by-step implementation of a large language model similar to ChatGPT using PyTorch. It is particularly valuable for machine learning and AI engineering teams looking to deepen their understanding of language model internals and build custom solutions from the ground up. While it is an excellent educational resource and prototype framework, it is not a production ready solution for scalable deployment or high availability use cases. Teams requiring robust, optimised models for live environments should consider more mature libraries or commercial APIs. This project is best suited for roles focused on research, experimentation, and custom model development rather than immediate production use.

When to use this project

Choose LLMs-from-scratch when the goal is to learn or experiment with the fundamentals of transformer-based language models in a transparent, hands-on way. For production environments or when time to market is critical, teams should explore established, self hosted options or managed services that offer reliability and scalability.

Team fit and typical use cases

Machine learning engineers and AI researchers benefit most from this open source tool for engineering teams as it allows them to build and modify language models tailored to specific needs. It is commonly used in projects involving natural language processing, chatbots, and generative AI prototypes where understanding model mechanics is essential. This project supports teams developing custom AI features in products requiring tight integration and experimentation.

Best suited for

Topics and 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 and freshness

Latest commit on GitHub: 2026-01-04. Activity data is based on repeated RepoPi snapshots of the GitHub repository. It gives a quick, factual view of how alive the project is.