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

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...

Physical AI is not merely a product feature. It is an architectural shift. The question before us is simple: Will the world of Physical AI be built by a few thousand engineers, or by millions of ...

Understand how this artificial intelligence is revolutionizing the concept of what an autonomous agent can do (and what risks ...

Python -O won’t magically make every script faster, but in the right workloads it’s a free win—here’s how to test it safely.

See 10 good vs bad ChatGPT prompts for 2026, with examples showing how context, roles, constraints, and format produce useful answers.

The introduction of dynamic arrays triggered the biggest change to how we work with Microsoft Excel formulas in years, if not decades. They allow a single formula to spill multiple results into ...

Sometimes, reading Python code just isn’t enough to see what’s really going on. You can stare at lines for hours and still miss how variables change, or why a bug keeps popping up. That’s where a ...

Community driven content discussing all aspects of software development from DevOps to design patterns. Ready to develop your first AWS Lambda function in Python? It really couldn’t be easier. The AWS ...

Functions are the building blocks of Python programming. They let you organize your code, reduce repetition, and make your programs more readable and reusable. Whether you’re writing small scripts or ...

Functions are the building blocks of Python programs. They let you write reusable code, reduce duplication, and make projects easier to maintain. In this guide, we’ll walk through all the ways you can ...