About LLMs-from-scratch
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
LLMs-from-scratch is an open-source educational project that guides developers through building a ChatGPT-like large language model (LLM) from the ground up using PyTorch. Hosted on GitHub as a free Jupyter Notebook, it provides a hands-on, step-by-step tutorial covering core concepts like neural networks, transformers, and generative AI. Unlike pre-built APIs, this tool demystifies LLM internals—from tokenization and attention mechanisms to training loops—making it invaluable for learners, researchers, and engineers seeking to deepen their understanding of modern AI. By implementing everything from scratch, users gain practical insights into machine learning workflows, model optimization, and the architecture behind chatbots like GPT. Its clear, code-first approach bridges theory and practice, empowering users to customize, experiment, and build their own AI solutions.
Common Use Cases
- Learn LLM fundamentals by coding each component, from embeddings to transformer layers, in PyTorch.
- Experiment with custom model architectures by modifying the provided notebook to suit specific research needs.
- Gain hands-on experience in training and fine-tuning language models for educational or prototyping purposes.
- Understand chatbot mechanics by building a generative AI model step-by-step, enhancing debugging and optimization skills.
- Use as a teaching resource in courses or workshops to demonstrate deep learning and natural language processing concepts.
Not sure how we recommend this tool? Learn about our methodology
Key Features
- Jupyter Notebook
- Open Source
- GitHub Hosted
How to Get Started
Usage Statistics
Active Users
89,876
API Calls
13,732,000
Additional Information
Category
Chat Bot
Pricing
Free
Last Updated
4/3/2026