Hands-on AI and machine learning tutorials in Python: model building, computer vision, NLP, and practical code guides.
Introduction Depth Perception is a process of understanding 3D objects and judging how far these objects are. It helps in tasks like navigation, object manipulation, and scene understanding. Despite its…
# Introduction An agent that calls a cloud API for every decision is renting its intelligence. It needs a key, it racks up a bill per token, and every request…
Most computer vision pilots in manufacturing stall in the integration, not the model. Scale by modeling vision data as reusable so it lands in your data lake, running detection at…
I had a handful of parallel Claude agents write me up a strategy folder for a side project. The pull request looked great: ten documents, all neatly cross-linked, and it…
Introduction The H100, Nvidia’s latest GPU, is a powerhouse built for AI, boasting 80 billion transistors—six times more than the previous A100. This allows it to handle massive data loads…
# Introduction Every Python codebase has this problem. A function that starts small. Two branches, maybe three. Then someone adds a case, someone else adds another, and a year later…
In this article, you will learn how scikit-ollama bridges the scikit-learn interface with locally running Ollama models to perform zero-shot text classification; no cloud API required. Topics we will cover…
In this tutorial, you’ll write CLAUDE.md files for Claude Code that capture your Python workflow, project commands, and coding rules. You’ll create a global file for personal defaults, a project-level…
You can segment anything with text using SAM 3, which takes a short prompt like “helmet” or “safety vest” and returns pixel-level masks for every matching object, zero-shot, with no…
a confident wrong answer, the instinct is to reach for the generation knobs: a stricter prompt, a bigger model, a temperature of zero. That treats a retrieval failure as a…
