skyloevil/llm-scratch-pytorch
📦 Open Source Projectskyloevil
A beginner-friendly, step-by-step guide to building Large Language Models from scratch using PyTorch.
This repository provides a comprehensive, code-first approach to understanding how LLMs function under the hood. By implementing models from scratch, users gain deep insights into the mathematical and architectural foundations of transformers, including self-attention, feed-forward networks, and positional encodings. The project focuses on clarity and pedagogical value, making it an excellent starting point for students and engineers who want to master PyTorch and the core principles of deep learning. The implementation covers the essential building blocks required to construct a GPT-style architecture, emphasizing readability and modular design. It bridges the gap between theoretical concepts found in research papers and functional, executable code, allowing learners to experiment with model parameters and training loops in a controlled, educational environment.
💡Highlights
- ├─Step-by-step transformer build
- ├─PyTorch-native implementation
- └─Focus on LLM fundamentals
🎯For
- ├─AI Students
- └─Machine Learning Engineers