Image by Author | Canva Everyone and their dogs are trying to enter the tech industry, whether by learning to program, entering product management,
Image by Author Distributed machine learning (DML) frameworks enable you to train machine learning models across multiple machines (using CPUs, GPUs, or TPUs), significantly
In this tutorial, we’ll build a powerful and interactive Streamlit application that brings together the capabilities of LangChain, the Google Gemini API, and a suite
Cybersecurity has become a significant area of interest in artificial intelligence, driven by the increasing reliance on large software systems and the expanding capabilities of
Understanding Subgroup Fairness in Machine Learning ML Evaluating fairness in machine learning often involves examining how models perform across different subgroups defined by attributes such
Introduction AI agents are increasingly moving from pure backend automators to visible, collaborative elements within modern applications. However, making agents genuinely interactive—capable of both responding
1. It with a Vision While rewatching Iron Man, I found myself captivated by how deeply JARVIS could understand a scene. It wasn’t just recognizing
In the first story [1] of this series, we have: Addressed multiplication of a matrix by a vector, Introduced the concept of X-diagram for a
If features powered by LLMs, you already know how important evaluation is. Getting a model to say something is easy, but figuring out whether it’s
The Challenge of Long-Context Reasoning in AI Models Large reasoning models are not only designed to understand language but are also structured to think through