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Artificial Intelligence (AI) has become one of the most influential technologies of the 21st century. From recommendation systems on Netflix and Amazon to fraud detection in banking, autonomous vehicles, medical diagnosis, and generative AI systems like ChatGPT, AI is transforming how we live and work. Yet beneath these impressive applications lies a common misconception: many people believe AI is a collection of sophisticated software tools. In reality, AI is built upon a re

Every week, a new AI framework appears, a new model tops the benchmarks, and a new agent platform promises to automate everything. As a result, many aspiring AI engineers spend months learning prompts, frameworks, and tooling, only to discover later that they understand the interfaces but not the systems underneath them. Six months into their journey, they can build demos. Yet they struggle to explain why a model overfits, how retrieval improves performance, why hallucination

Neural networks have become a cornerstone of modern artificial intelligence, powering everything from voice assistants to image recognition. Understanding how they work is essential for anyone interested in machine learning or data science. This post covers the key concepts introduced in a neural network course, providing a clear foundation to build layers What Is a Neural Network? A neural network is a computing system inspired by the human brain’s network of neurons. It con

When diving into the world of artificial intelligence, one term you will encounter frequently is entropy. It’s a concept borrowed from physics and information theory, but it plays a crucial role in how AI systems learn, make decisions, and handle uncertainty. Understanding entropy is like holding a compass in the vast ocean of AI - it guides you through complex data landscapes and helps you build smarter, more efficient models. In this post, I will walk you through the essent