Hassaan Idrees·Aug 29Building a RAG-Powered AI Teaching Assistant for Video CoursesOne of the most practical ways to learn RAG (Retrieval-Augmented Generation) is to build something real with it. This post breaks down a…
Hassaan Idrees·Aug 22Version Control & Git: The Complete GuideVersion control is one of those skills that feels optional right up until you overwrite the wrong file or lose an hour of work. This post…
Hassaan Idrees·Aug 20Introduction to RAG (Retrieval-Augmented Generation) SystemsLLMs are powerful, but they have one big limitation: they only know what was in their training data. Ask about last week’s news, or your…A response icon1A response icon1
Hassaan Idrees·Aug 17How LLMs Work: Tokenization, Embeddings, and the TransformerLLMs can feel like magic from the outside, but the mechanics are grounded in solid deep learning fundamentals. This post breaks down…
Hassaan Idrees·Aug 17History of LLMs: From Rule-Based Systems to the Transformer RevolutionTo really understand LLMs, it helps to know how we got here. This post walks through the key milestones in NLP — from early rule-based…
Hassaan Idrees·Aug 15Introduction to LLMs (Large Language Models)Large Language Models (LLMs) are the technology behind tools like ChatGPT, Claude, and Gemini. They’ve changed how machines understand and…
Hassaan Idrees·Aug 14Web Development for Data Scientists (HTML, CSS & Flask)Revision summary: You don’t need to be a full-stack developer as a data scientist — just enough HTML, CSS, and Flask to turn a model into…
Hassaan Idrees·Aug 13Introduction to Neural NetworksRevision summary: This blog covers what neural networks actually are, how a single perceptron works, the vocabulary of deep learning, the…
Hassaan Idrees·Aug 13Machine Learning Problem-Solving: The Complete Workflow (with a Real Case Study)Revision summary: This blog covers the full end-to-end process of solving an ML problem — from framing the question to deploying a trained…
Hassaan Idrees·Aug 10History of Machine Learning — From Turing to AlphaGoA revision-ready guide to how ML evolved over 80 years, and the three core learning styles — supervised, unsupervised, and reinforcement…
