gpt-tfjs and WebGPT
About gpt-tfjs
zemlyansky/gpt-tfjs
GPT in TensorFlow.js
This project helps JavaScript developers integrate GPT-like language models directly into their browser-based or Node.js applications. It takes configuration parameters for a GPT architecture and a TensorFlow.js dataset, then produces a trained language model capable of generating new sequences based on input. Frontend and backend JavaScript developers working on AI-powered features would use this.
About WebGPT
0hq/WebGPT
Run GPT model on the browser with WebGPU. An implementation of GPT inference in less than ~1500 lines of vanilla Javascript.
This project helps developers and educators explore and implement large language models directly within web browsers. It takes a pre-trained GPT model and its weights, and runs it entirely client-side, showing how a transformer model can generate text without server interaction. The primary user is a web developer, a machine learning engineer, or an educator interested in WebGPU capabilities.
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