The H100 GPU’s Role in Advanced AI Development
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…
Hands-on AI and machine learning tutorials in Python: model building, computer vision, NLP, and practical code guides.
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…
The sphere of Natural language processing or NLP has undergone inspiring breakthrough due to the incorporation of state-of-art deep learning techniques. These algorithms have improved the internal flexibility of NLP…
THE GIST ▸ What it is: A 3,826-line system prompt steering Claude Fable 5 inside the Claude app, pulled from a public GitHub archive. ▸ What’s in it: Rules about…
# Introduction Large language model (LLM) apps get slow and expensive faster than you’d expect. In a prototype, things look fine. A few users, one model call, a short prompt,…
Open vocabulary segmentation lets you segment any object you can describe in text, like “door”, with no labeled dataset, fixed class list, or training: SAM 3 returns pixel-level masks for…