Hi Everyone,
While multi-billion dollar RAG pipelines and heavy neural guardrail frameworks dominate current LLM alignment security, I wanted to open-source a radically different, zero-overhead paradigm.
I have deployed a real-time validation engine that runs flawlessly on a 512MB RAM Render server using only the Python standard library. It maps text/embedding entropy onto a unit sphere in a separable infinite-dimensional Hilbert space ($\mathcal{H}$) to deterministically lock hallucination and vector drift.
Core Innovations
Axiomatic Closure: Models the core validator as a compact self-adjoint operator $T: \mathcal{H} \to \mathcal{H}$ with eigenvalues $\lambda_n = \frac{1}{n}$, enforcing a strict security corridor with an $\mathcal{O}(N^{-1})$ tail error bound derived via continuous Riemann upper sum integration criteria.
