It is mid-2025 and the cogs of AI are at full speed. So we (I and Mobin) decided to do our own AI project. We called it "IntelliLogs". IntelliLogs at a glance: Demo: https://www.youtube.com/watch?v=OXMlORwyMQk In this post I will describe why we did what we did, what is it that we did and how we did it. I will share my personal experience. I am hoping this will, at least, be an interesting read. Table of contents: Why IntelliLogs What is IntelliLogs How IntelliLogs was developed Future of IntelliLogs Conclusion References Why IntelliLogs: Personal motivation 💪 to this were: Explore and experience what does an AI app look like from an architectural and engineering perspective Explore the realm of Huge LLMs (eg: GPT-4.1-170B, Gemini Pro etc) vs small LLMs (eg: granite-7b, gemma-4b) Explore the possibilities of model tuning / making a model without being a data scientist. How easy or hard it is, what tools available etc. We also wanted to tackle a "not too far from ...
I wanted to build a Homelab for some time but it was taking a backseat as I always had access to cloud environments (eg: cloud accounts, VMware DC etc) and the use cases I was focusing on didn't really warrant for one. But lately, some new developments and opportunities in the industry triggered the need to explore use cases in a bare-metal server environment, ultimately leading to the built of my own homelab, called MetalSNO. In this post, I will discuss some of my key reasons for building a homelab, the goals I set for it, and the process I followed to building one from scratch. I'll conclude with some reflections on whether it was truly worth it and what I plan to do with it going forward. Compelling reasons (The Why ) My uses cases for a homelab weren't about hosting plex server, home automation etc (I have them on Raspberry PIs for some years now). My Homelab is really about exploring technologies and concepts that are on par with industry trend. Below are some of the ...