A minimal re-implementation of Karpathy's minGPT using TensorFlow.js is introduced for educational purposes. This concise implementation, under 300 lines of code in TypeScript, allows users to train, experiment with parameters, and generate predictions directly in the browser using WebGPU or a Node.js environment. Various files including model.ts, config.ts, and trainer.ts are provided for detailed understanding and experimentation via a web or Node.js playground.

Homemade GPT JS

Wawa Sensei

Explore the basics of creating stunning 3D websites using Three.js, a powerful library that allows you to render 3D objects, animate models, and add lights, shadows, and particles to your projects.

Three.js 101: How to Build 3D Websites (Ep 1 - Introduction) #threejs

WebGPU is a web standard and API that provides low-level, high-performance access to graphics and computation capabilities on the web platform. Learning about WebGPU introduces readers to modern web graphics programming and GPU acceleration techniques. Readers can explore WebGPU's features, compatibility, and use cases, helping them develop immersive web experiences, games, and applications with advanced graphics and performance.

Best of WebGPU — November 2024