How-To Geek on MSN

7 Python mistakes that make your code slow (and the fixes that matter)

Python is a language that seems easy to do, especially for prototyping, but make sure not to make these common mistakes when ...
PCMag

With Nvidia's GB10 Superchip, I’m Running Serious AI Models in My Living Room. You Can, Too

I’m a traditional software engineer. Join me for the first in a series of articles chronicling my hands-on journey into AI ...

Code Metal Raises $125 Million to Rewrite the Defense Industry’s Code With AI

The Boston startup uses AI to translate and verify legacy software for defense contractors, arguing modernization can’t come at the cost of new bugs.

A more accurate measure of calories burned: Model interprets leg motion as expended energy

Though it might feel great to finish a workout and see "calories burned" pop up on your smartwatch, that number is often ...
InfoWorld

How to choose the best LLM using R and vitals

Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models.
IEEE

Missing Data Imputation: A Systematic Comparison of Traditional, Machine Learning and Deep Learning Approaches

Abstract: The most important step in data processing is handling missing data. Missing data introduces bias and degrades machine learning's model performance. Traditional imputation techniques, such ...