From 64727ec35d2f750f8445e3f4d495d543e1c6e561 Mon Sep 17 00:00:00 2001 From: Salka Elmadani Date: Mon, 23 Feb 2026 06:51:35 +0000 Subject: [PATCH] =?UTF-8?q?Update=20profile=20=E2=80=94=20signal=20quality?= =?UTF-8?q?,=20adaptive=20precision,=20fused=20computation?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- README.md | 18 ++++++++++++------ 1 file changed, 12 insertions(+), 6 deletions(-) diff --git a/README.md b/README.md index a453413..c6d615d 100644 --- a/README.md +++ b/README.md @@ -1,23 +1,29 @@ ## Salka Elmadani -**Building [Inference-X](https://inference-x.com)** — the shortest path between a model and silicon. +**Building [Inference-X](https://inference-x.com)** — better output from the same model. -One binary routes any AI model to any hardware. 305 KB. 19 backends. Zero dependencies. Built in Morocco. +Universal AI inference engine. Fused computation, adaptive precision, surgical expert loading. 305 KB, 19 backends, zero dependencies. Built in Morocco. ### What I'm working on | Project | Description | |---------|-------------| -| [**Inference-X**](https://github.com/ElmadaniS/inference-x) | Universal inference protocol — 305 KB, C++17, 23 quantization formats, 19 hardware backends | -| **Solar Inference** | Running AI on direct current from solar panels. No cloud. No API key. Just starlight. | +| [**Inference-X**](https://github.com/ElmadaniS/inference-x) | Universal inference engine — 305 KB binary, fused dequant+dot kernels, Shannon entropy adaptive precision, 23 quantization formats, 19 hardware backends | +| **Solar Inference** | Deploying AI on direct solar current. Adaptive precision + 25W power budget = inference powered by a star. Anti-Atlas, 2026. | ### Philosophy -> *In the Anti-Atlas, our ancestors built khettaras — underground water channels that irrigate villages without pumps, without electricity, flowing for centuries by gravity alone. Inference-X is the khettara of intelligence: once built, it flows without intervention.* +> *The best inference engine is the one you don't notice. You should hear the model, not the framework.* + +### How it works + +The same model produces higher-fidelity output through Inference-X because the computation path is cleaner: fused kernels eliminate intermediate buffers, adaptive precision allocates depth where it matters, and surgical expert loading keeps only active parameters in memory. + +→ [Full technical explanation](https://github.com/ElmadaniS/inference-x/blob/master/TECHNOLOGY.md) ### Links -🌐 [inference-x.com](https://inference-x.com) · 📧 [Elmadani.SALKA@proton.me](mailto:Elmadani.SALKA@proton.me) · 🐦 [@ElmadaniSa13111](https://x.com/ElmadaniSa13111) +🌐 [inference-x.com](https://inference-x.com) · 📧 [Elmadani.SALKA@proton.me](mailto:Elmadani.SALKA@proton.me) · 𝕏 [@ElmadaniSa13111](https://x.com/ElmadaniSa13111) ---