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Running LLMs locally
Introduction A while back I realized that you can’t do serious cybersecurity work in 2026 without understanding AI. Not as a nice-to-have, but as a baseline. So I made it part of my goals. And one of the first things I wanted to get right was running models locally, on my own hardware, under my…
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AI Deep dive – Part II
Introduction When you write a part I, you’ll need to write part II as well. Let’s pick it up where we left it last week. Model parameters When you call a model API, you can pass parameters that control how the model generates text. These are not settings that change the model’s knowledge or capability.…
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AI Deep dive – Part I
Introduction Following my Google AI adventure, I left the course and certification unsatisfied. Therefore I’ve researched some more of the technical aspects of AI. Since it is a lot (I simply had A LOT of questions), I’ll divide it into two posts. Model landscape When people talk about “AI models” today, they almost always mean…
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Google’s AI course and certification
Introduction My cybersecurity adventure is still my number one priority, but since I think it would be foolish to ignore AI during this quest, I will take the occasional detour. I recently worked through Google’s AI Professional course, which was recommended at a couple of places to be a must have. A nice, professional certification…
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Google’s Cybersecurity AI module
Introduction As promised last week, today I’ll cover the Artificial Intelligence (AI) module that was added to the Google’s Cybersecurity Professional Certificate program. Although it’s a bit basic, this module, being part of a cybersecurity course, got me thinking. I ended up on YouTube, and did some research. I found out that cybersecurity deals/has to…