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

The move to Mac-first is less about brand preference and more about adapting infrastructure to the realities of modern, AI-driven software development.

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 ...