5d ago · 10 min read · Welcome back! If you have already read part one of this series on running a local offline LLM, or if you already have one running in your terminal, let's add a beautiful Graphical User Interface (GUI)
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Jun 11 · 9 min read · Understanding the local AI experience Running a machine learning model locally is one of the most interesting ways to understand what artificial intelligence really demands from infrastructure. When w
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Jun 9 · 5 min read · I'm a cybersecurity student. No budget, no enterprise hardware, no client environments. I set it up as a local AI server for SOC automation — log triage, CVE analysis, security bots. The internet made
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Jun 5 · 6 min read · The Problem With Choosing a Local Model Everyone has an opinion on which local LLM is best. "Use Llama — it's the most popular." "Mistral 7B has the best quality." "Phi-3 Mini is small and efficient."
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Jun 3 · 13 min read · Your AI. Your Data. Your Machine. For the last few years, AI development has been dominated by Python. When developers talk about AI frameworks, the conversation usually revolves around LangChain, Ll
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Jun 3 · 4 min read · The last few years have seen incredible progress in speech recognition, language models, and text-to-speech systems. Today, translating a conversation between two languages is technically possible wit
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Jun 1 · 18 min read · Introduction So there I was, staring at four Raspberry Pi 5s, two Hailo AI HAT+ accelerators, a growing pile of cables, and the uncomfortable realization that I had built a tiny data center to avoid s
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Jun 1 · 7 min read · As platform engineering evolves, we are constantly battling alert fatigue. We run our vulnerability scanners, generate endless Software Bill of Materials (SBOMs), and drop massive PDF reports onto dev
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