python

LexSubLM-Lite: Lightweight Lexical Substitution That Runs Anywhere

A laptop-sized toolkit for context-aware lexical substitution, and an honest look at what tiny models actually score on it.

Intelligent Agents & Search: A Baby-Steps Tour from ‘What is Rational?’ to ‘How do we find the goal?’

What an agent actually is, how to turn a problem into a search problem, and why changing one line of priority code turns breadth-first search into A*.

AI Foundations03

Machine Learning 101: PyTorch, TensorFlow & Decision Trees

What a deep-learning framework actually does for you, how a decision tree picks its questions, and which of the three to reach for on real data.

AI Foundations02

Math for AI Made Simple: The Linear-Algebra Lego Set Behind Every Model

Scalars, vectors, matrices and tensors, the five operations every neural network is made of, and the shape rules that cause most of the bugs.

AI Foundations01

Django or FastAPI: How the Framework Shapes the Code You Write

One gives you everything and an opinion; the other gives you speed and a blank page. The choice is about how much you want the framework to decide for you.

Building Backends02

Design Patterns You Actually Use, and the Ones You Should Not Reach For

The pattern books list twenty-three. You reach for about six. Here are those six, the problem each solves, and why naming a pattern is a tool, not a trophy.

Building Backends01