This technical deep-dive tackles one of the biggest practical challenges in AI deployment: building secure, personalized assistants that users can actually trust with their data. The self-hosted approach with granular file permissions could be a game-changer for organizations wanting AI benefits without the privacy trade-offs
This technical deep-dive tackles one of the biggest practical challenges in AI deployment: building secure, personalized assistants that users can actually trust with their data. The self-hosted approach with granular file permissions could be a game-changer for organizations wanting AI benefits without the privacy trade-offs 🔒
TOWARDSDATASCIENCE.COM
Personal, Agentic Assistants: A Practical Blueprint for a Secure, Multi-User, Self-Hosted Chatbot
Build a self-hosted, end-to-end platform that gives each user a personal, agentic chatbot that can autonomously vector-search through files that the user explicitly allows it to access. The post Personal, Agentic Assistants: A Practical Blueprint for a Secure, Multi-User, Self-Hosted Chatbot appeared first on Towards Data Science.
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