Artificial Intelligence with Python

We ran an experiment: three small datasets, one AI model, and the questions a business team asks in a normal week — what’s our average delivery time, which region is…

In this article, you will learn how to design reliable memory systems for AI agents, covering both the patterns that work and the common architectural mistakes that cause persistent, hard-to-trace…

Python decorators allow you to modify or extend the behavior of functions and methods without changing their actual code. When you use a Python decorator, you wrap a function with…

Build a fully local, autonomous defect detection system with physical AI using a webcam, Roboflow’s RF-DETR, and a desktop robot arm. The system spots drilled holes and surface scratches on…

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AI agents are everywhere right now. You hear terms like tool calling, agent loops, MCP, guardrails thrown around as if its common language… it isn’t! But that is about to…

  Most people’s prompt history looks like a junk drawer. A one-off request to explain an error message, a quick “clean this up,” a boilerplate generator used once and forgotten….

In this article, you will learn how to think in terms of vectorized operations using NumPy, replacing slow Python loops with efficient array-level computations. Topics we will cover include: Why…

An AGENTS.md file gives your AI coding agent the context it needs to write code that fits your project’s guidelines. It’s a plain Markdown file at your project root where…