For the data science and machine learning community, Dots deserves more than a quick skim of the announcement. It introduces ...

The fight is usually framed as whether data centers get built. The harder question underneath it is "who pays and who decides?" The costs are intertwined.

A fitted statsmodels model computes a more than just the array of numbers most code pulls out of it. The point forecast is ...

Growth like that invites a fair question: is this a lasting career, or does the hype cycle have a new name? The ...

This is the Python material that does not get left behind. Almost none of it is replaced by a framework later. Learn it, and keep this cheat sheet close by as a handy reference.

Learn how to use Julius AI to analyze Excel data, verify key findings, and turn them into an editable PowerPoint presentation ...

A closer look at TypeSafe AI’s Jev, what it actually does, what is genuinely new, and where the hype goes too far. Today, I'm trying something different. Instead of another standard "What is Jev?" ...

In this second article in our short series on SLM optimization techniques we focus on the reuse of the prompt prefix with a key-value cache. In a previous article we discussed constraining output ...

Prompt optimization and prompt engineering get used interchangeably online, and that's causing more confusion than it should. Prompt engineering designs a prompt from scratch; prompt optimization ...

Here are 2014 Poll Results: Largest Dataset Analyzed/Data Mined, analysis and discussion. For comparison, here are results of 2013 KDnuggets Poll Results: largest dataset analyzed / data mined. 2012 ...

Scikit-LLM wraps language models in the scikit-learn estimator API, so it drops into a Pipeline or a cross-validation loop natively. There are two ways you can go about integrating LLMs into your ...