Learn LLM fundamentals, AI engineering, RAG, MLOps, fine-tuning, and deployment with five practical courses designed to help you become a stronger AI and…
Tag: KDnuggets
Gemini 3.5 Transcribe vs OpenAI’s GPT-Transcribe
Here’s how each got to where it is, a real use case and working code for both, and a side-by-side on the numbers that actually matter.
3 Numba Tricks for Python Runtime Optimization
When Numba code disappoints, it’s nearly never the compiler, and usually ends up being the boundary around the compiled code: not crossing it, not making…
MCP Explained in 5 Minutes
A visual guide to MCP that explains how it works, how to use it with Claude Code, Tavily, GitHub, and Playwright, and what is new through simple diagrams…
What I’ve Learned About DeepSeek Harness
KDnuggets team member Shittu Olumide tested out DeepSeek Harness. Here’s what he found.
Batching by Length Instead of Looping Item by Item for SLM Optimization
We finish off our short series on SLM optimization with the third entry, focused on batching by length instead of looping item by item.
7 Advanced Python Tricks to Level Up Your Coding Skills
Leveling up rarely means new syntax. It means learning what the language already promised you.
Why Most Data Science Notebooks Die After Day One: How to Build Ones That Survive
Six habits that keep a notebook runnable after you close the laptop.
Everything Claude Opus 5.5 Actually Ships With
This article pulls together every verifiable number and detail from Anthropic’s announcement, the platform documentation, the system card, and independent…
High-Performance Data Processing with Polars: A KDnuggets Cheat Sheet
Polars is a DataFrame library written in Rust on the Apache Arrow memory format, and the speed comes less from the language than from the model. The…