by Dr. Owns | Feb 6, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support
This article is aimed at those who want to understand exactly how Diffusion Models work, with no prior knowledge expected. I’ve tried to use illustrations wherever possible to provide visual intuitions on each part of these models. I’ve kept mathematical notation and...
by Dr. Owns | Feb 5, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support
Introduction “Money can’t buy happiness.” “You can’t judge a book by its cover.” “An apple a day keeps the doctor away.” You’ve probably heard these sayings several times, but do they actually hold up when we look at the data? In this article series, I want to take...
by Dr. Owns | Feb 5, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support
Deepseek has recently made quite a buzz in the AI community, thanks to its impressive performance at relatively low costs. I think this is a perfect opportunity to dive deeper into how Large Language Models (LLMs) are trained. In this article, we will focus on the...
by Dr. Owns | Feb 5, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support
Introduction Many of us might have tried to build a RAG application and noticed it falls significantly short of addressing real-life needs. Why is that? It’s because many real-world problems require multiple steps of information retrieval and reasoning. We need our...
by Dr. Owns | Feb 4, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support
DISCLAIMER: The idea of doing Cover Letter or even Resume with AI does not obviously start with me. A lot of people have done this before (very successfully) and have built websites and even companies from the idea. This is just a tutorial on how to build your own...
by Dr. Owns | Feb 4, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support
In the world of machine learning, we obsess over model architectures, training pipelines, and hyper-parameter tuning, yet often overlook a fundamental aspect: how our features live and breathe throughout their lifecycle. From in-memory calculations that vanish after...
