A developer has successfully integrated a Large Language Model (LLM) directly into their personal website, allowing it to run within the visitor's browser without requiring a backend server or API keys. This approach ensures privacy by keeping all interactions local and prevents the LLM from accessing information beyond the developer's curriculum vitae. The implementation leverages WebGPU technology for efficient processing, with the developer opting for the WebLLM framework due to its OpenAI-compatible API and ability to handle models with a 4096-token context window, sufficient for the CV's content. AI
IMPACT Enables privacy-preserving, cost-free LLM interactions directly within user browsers.
RANK_REASON Developer implements an LLM for a personal website using browser-based technologies.
- Carnegie Mellon University
- Gemini Nano
- GitHub Pages
- Hugging Face
- MLC
- ONNX Runtime Web
- OpenAI
- Transformers.js
- WebAssembly
- WebGPU
- WebLLM
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