#WebGPU

WebGPT offers an educational platform with near-native GPU access in web applications. It leverages JavaScript and HTML to provide a transformer model ideal for educational use, with tests on up to 500M parameters demonstrating its adaptability. Compatible with Chrome v113 and Canary, WebGPT supports practical models like GPT-Shakespeare and GPT-2 117M. This tool provides insights into GPU optimization, simplifying the experimentation with web-based neural networks and focusing on efficiency and resource management.

gpu.cpp facilitates cross-platform GPU computation in C++ using the WebGPU specification for seamless GPU interfacing. Compatible with Nvidia, Intel, AMD, and more, it operates on diverse hardware including laptops, mobile devices, and desktops. Notable features are its minimalistic API, rapid compile/run times under 5 seconds, and a lack of extensive dependencies. The header-only design supports swift development cycles, ideal for developers and researchers aiming for effective GPU use without extensive setup. Discover its capabilities with examples like matrix multiplication and physics simulations, enabling easy GPU exploitation across different platforms.

Experience the transformative power of browser-native large language models for creating autonomous agents. With WebGPU, achieve improved performance directly in the browser, ensuring enhanced privacy and cost efficiency. Enjoy a streamlined sandbox for seamless task execution, perfect for quick prototyping and testing, without the need for complex external tools.

Chatty provides an in-browser AI solution using WebGPU for private processing of large language models. Focusing on privacy and offline functionality, it supports models such as Gemma and Llama. Key features include chat history management, responsive design, markdown formatting, voice input, and chat log export. The interface draws inspiration from popular platforms while ensuring user data remains local, leveraging advanced embedding technologies.

React-llm facilitates efficient in-browser LLM operation with headless React Hooks and WebGPU integration. Supporting models like Vicuna 7B, it features prompts customization, secure data handling, and caching for speed. Ideal for developers seeking to integrate LLMs easily using `useLLM()` API, while preserving UI customization options.

ChatLLM-Web enables AI interactions directly in the browser using WebGPU, with no server reliance. It can be quickly deployed on Vercel and supports multi-conversation chat, local data storage for privacy, markdown rendering, and offline functionality as a PWA. This tool is suitable for those looking for private and advanced server-free AI chat capabilities, featuring model caching and multi-language options.