Building a Privacy-First, Zero-Cost AI Proxy for Public Data with Open-Source Tooling

Originally published on tamiz.pro. In the current era of Large Language Models (LLMs), the tension between utility and privacy is palpable. While public data—such as documentation, public forums, or open datasets—is technically 'public,' sending it through a commercial AI API often involves leaking metadata, user patterns, and proprietary prompt... Weiterlesen: Building a Privacy-First, Zero-Cost AI Proxy for Public Data with Ope…