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Articole: 9
  1. Local AI System: Sovereign ML Stack (Personal Architecture) I'll be documenting my local AI setup as a ongoing process but here's what I have now What I’ve built is not just a “local AI setup” in the typical sense.

  2. If you're like me, you're probably always trying to squeeze as much performance out of your systems and make each GPU hour count.

  3. Notes from Building and Operating NexaCompute One thing I didn’t fully appreciate early in my ML career is how much infrastructure shapes thinking.

  4. Technical Evaluation of NexaSci-Falcon-10B A Lightweight Scientific Reasoning Model This project began as a controlled experiment: take a curated 100k scientific dataset, distill it into a 10B parameter model, add a small agentic post-training layer, and…

  5. End-to-end distillation, deployment, and inference R&D on dual RTX 4090s 10 Nov, 2025 TL;DR: In ~two weeks I stood up my training/inference platform (Nexa_Compute), distilled a 10B scientific model from ~100k GPT-4 Q&A pairs for about $200, and then bench…

  6. I never set out to design an engineering philosophy.

  7. Introduction Protein secondary structure prediction is a cornerstone of bioinformatics.

  8. When it comes to software, I’ve always approached it differently than most.

  9. Systems Engineering: Why Integration Matters More Than Specialisation The “specialist versus generalist” debate is everywhere in engineering circles.