Building an LLM from Scratch in TypeScript
The from-scratch guide to building large language models in NodeJS.
Building an LLM from Scratch in TypeScript launched on October 14, 2026 with 33 votes, #506 of 3,223 launches that month and more than 95% of that year's launches.
In plain words
Building an LLM from Scratch in TypeScript is a guide for learning how large language models work by constructing one from the ground up using Node.js and TypeScript. The book covers each component sequentially, including attention mechanisms, transformer blocks, GPT architecture, and training loops. It is designed for developers who want to understand LLM internals through hands-on implementation. Each chapter includes runnable code examples available on GitHub, and the companion playground package provides interactive WebGPU demonstrations.
written from the facts on this page · October 2026
From the sources
Learn how large language models actually work by building one from scratch in Node.js and TypeScript. We’ll build every layer, from attention mechanisms to the training loop. Dataset, dataloader, attention, transformer block, GPT, and the training loop built up chapter by chapter. Every chapter has a runnable entry point in the @node-llm/chapters package, all on GitHub . Live WebGPU demos from the @node-llm/playground package are embeddedfrom book.humanexperiences.io
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