Data Modeling cheat sheet v1
I have gone through some database notes on my msc program and created this cheat sheet covering some concepts of it will upload the advance one too.
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From Systems to Agentic AI: Understanding How We Got Here
If you have already read some of my blogs, you probably know that I don't really like learning things as if they are magic. I usually need to understand the why and the how behind something before it really makes sense to me. Otherwise, my brain just refuses
My 2 Cents About Statistics (After Surviving My Statistics Test 😅)
A while ago, I wrote something about measures of central tendency — mean, median, and mode. Yesterday, I finally finished my statistics test, so I thought this would be a good time to write down my current understanding of statistics as a whole. This is not a textbook explanation, and I
Understanding LLMs, Agents, and AI Workflows
When I start learning a new technology, I prefer to begin with the big picture before diving into implementation details. If I understand why something exists and where it fits into the overall architecture, learning the technical details becomes much easier. Since I'm new to LLMs and agentic
My Rabbit Hole Into AI Content and Copyright
Recently, while exploring generative AI, I randomly came across a question that looked simple at first: "If AI creates something, who owns the copyright?" At first, I thought the answer would be straightforward. Maybe the person who generated the content owns it, or maybe the AI company owns