If you've written the same block of R code three times this week — a group summary, a plot, a cleanup step — you don't need another package. You need a function. A custom function is the solution. For example, two functions you'll actually …

ahead (R) 0.38.1 and its Python wrapper now install in a fraction of the time, by moving almost every heavy modeling dependency from Imports to Suggests and installing them at runtime, only when a function actually needs them. Continue read…

Spatial machine learning has become a standard tool for producing environmental and geographic prediction maps. It is now relatively (technically) easy to combine field observations with remote sensing, climate, terrain, or other predictor …

The following article originally appeared on Sean Goedecke’s blog and is being republished here with the author’s permission. In the 2010s, if you had technical gaps (say, you couldn’t write CSS), you had to either rely on a skilled colleag…

We still haven’t solved the problem of keeping track of everything we’re feeding our AI agents. Developers now install agent skills, instructions, and other customizations from public repositories by the dozens, and those files end up scatt…

AI is changing how fast organizations can move. Ideas that used to take months to build now take days, sometimes hours. That sounds like good news, and it is. But it creates a new problem. When execution is fast, teams can move in many dire…

A six-stage pipeline that checks its numbers before calling anything an answer.

Learn seven engineering techniques to train large language models on consumer GPUs without running out of memory.

Over the past several years, I have worked through three successive generations of intelligent retrieval systems, each solving problems the previous generation could not. Here is what I have learned.

As LLM applications grow more complex, inference cost and latency become increasingly important. A single request can contain thousands or even millions of tokens from system instructions, conversation history, retrieved documents, tool def…

Last week, a GitHub notification arrived while I was asleep: a bug had been reproduced in staging, documented with screenshots, and assigned to the right engineer. A bot I set up four days earlier did the work overnight. That is the gap Gro…

OpenAI has released GPT-6 Astra, its newest frontier model, less than a week after Anthropic’s Claude Fable 5.1. OpenAI calls Astra the world’s most intelligent and aligned model yet. What actually makes Astra different? The sim…

In this article, you will learn how to build, track, compare, and register scikit-learn pipelines that integrate large language models using Scikit-LLM and MLflow. Topics...

In this article, you will learn the key differences between Chain of Thought and Tree of Thoughts prompting, and how each reasoning framework is applied...

Scalar defaults work the way you'd expect, and batch_size: int = 500 is all you need.