Building a Large Language Model (LLM) from Scratch: An Open Source TypeScript Triumph
infrastructure#llm📝 Blog|Analyzed: Apr 18, 2026 14:36•
Published: Apr 18, 2026 14:06
•1 min read
•r/learnmachinelearningAnalysis
This is a fantastic showcase of grassroots engineering and dedication to learning the foundational mechanics of machine learning. The developers didn't just build a Large Language Model (LLM) from scratch; they engineered a highly optimized framework featuring custom CUDA kernels for operations like flash attention and the AdamW optimizer. The ability to run a 12M Parameter model directly from the browser using WebGPU makes this an incredibly accessible and exciting project for the community.
Key Takeaways
- •An Open Source machine learning framework was built from scratch using TypeScript, later enhanced with a Rust backend for better performance.
- •The team successfully trained a 12M Parameter Large Language Model (LLM) equipped with custom CUDA kernels for optimized Inference.
- •The project earned high visibility and a repost from the official NVIDIA AI Developer account, highlighting its community impact.
Reference / Citation
View Original"We decided to create a PyTorch-esque framework from scratch in TypeScript, then trained an LLM with it. Along the way we realized we needed to make a lot more optimizations, and integrated a Rust backend, CUDA, and WebGPU support."
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