Core Concepts Behind Modern AI Systems

Modern AI systems may look diverse on the surface, but under the hood they rely on a small set of recurring architectural and training ideas. This article distills foundational concepts—ranging...

Understanding ML Metrics: Recall, Precision, and F1 Score

This article uses a fruit basket analogy to explain key concepts in machine learning evaluation metrics, including recall, precision, and F1 score, making it easier to understand how these metrics...

The Current Landscape and Emerging Trends in AI Agents

Understanding Machine Learning: A Friendly Guide

If you've ever wondered how your favorite apps seem to know what you like, or how self-driving cars navigate the streets, you're in the right place. In this article, we'll break down the basics of...

Neural Networks and Deep Learning - A high level overview

An overview of neural networks and deep learning - introductory quick read-up, including their use cases, and pros and cons for each technique.