The project is designed for both end users and developers. For end users, it provides a privacy-by-design alternative to current AI services that often require users to give up their data. For developers, it offers an easy-to-customize and deploy solution for privacy-by-design Conversational AI. The project's roadmap includes features like revamping of Hugging Face Chat UI, integration of privacy-by-design inference with local model, local caching of conversations, and more.
Key takeaways:
- BlindChat is an open-source project aimed at creating a fully in-browser and private Conversational AI, providing an alternative to existing AI solutions that require users to send their data to AI providers.
- BlindChat ensures users' data privacy by performing local inference or using secure isolated environments called secure enclaves. It offers two modes: on-device inference and confidential AI APIs with enclaves.
- The project is designed for both end users who want privacy-by-design alternatives and developers who want to serve privacy-by-design Conversational AI.
- BlindChat is a fork from the Hugging Face Chat UI project, with modifications to ensure privacy by handling various tasks usually done by the server on the browser instead.