
How can someone detect that my write-up was AI generated?
If you’re wondering how someone might detect that your writing was AI-generated, there are a…
Large Language Models (LLMs) such as GPT (Generative Pre-trained Transformer) are a class of deep learning models that have revolutionized natural language processing (NLP).
Graphics Processing Units (GPUs) have become the backbone of modern computing, powering everything from gaming to artificial intelligence (AI).
In modern computing, the seamless transfer of data between various hardware components is crucial for maintaining system performance and efficiency.
Cryptocurrency has taken the world by storm, evolving from a niche concept into a mainstream financial asset class.
Let’s break down AI, Machine Learning (ML), and Neural Networks in a structured way, covering key concepts, types of ML, and model architectures like Transformers, and their applications.
Machine Learning
is a vast and intricate field that requires an understanding of key concepts from mathematics, statistics, programming, and data science. Let’s go through everything step-by-step, from the fundamental maths to the essential skills required to build ML models.
Introduction Tech in 2025 is redefining how we live, work, and play. From wearable AI to screenless computing, this year has seen a surge in functional, fun, and futuristic gadgets. Here’s a closer look at 22 must-see innovations—with detailed descriptions, pros, and cons to help you decide which ones deserve your attention (and money). 1….
Introduction As the AI landscape rapidly evolves, vision architectures are undergoing a revolution. We’ve moved beyond CNNs into the age of Vision Transformers (ViTs), hybrid systems like SigLIP, long-sequence models such as Mamba, and powerful multimodal models like Qwen-VL. Then there’s STORM—a new architecture combining selective attention, token reduction, and memory. This blog walks you…
Introduction As large language models (LLMs) become increasingly multimodal—capable of reasoning across text, images, audio, and video—a key bottleneck remains: token inefficiency. Particularly in the realm of long video understanding, traditional tokenization methods lead to rapid input length explosion, making processing long videos infeasible without aggressive downsampling or truncation. In this post, we explore the…
Introduction Imagine listening to your favorite song and realizing that it is not just one sound, but a combination of many different notes. This idea, that complex things can be broken into simple parts, is the foundation of Fourier Series and Transforms. These mathematical tools help us understand and work with waves, patterns, and signals…
Have you ever heard of a computer that can do things regular computers can’t? These special computers are called quantum computers. They are different from the computer you use at home or school because they use something called “qubits” instead of regular “bits”. In this article, we’ll explore the fascinating world of quantum computers! We’ll break down how…
Introduction Solving systems of linear equations is a fundamental problem in mathematics, engineering, physics, and computer science. Among the various methods available, LU Decomposition stands out for its efficiency, simplicity, and numerical stability. In this blog, we’ll explore what LU Decomposition is, how it works, and why it’s a reliable method for solving linear equations. What…
Quantum Entanglement: A Deep Dive into One of Quantum Mechanics’ Most Puzzling Phenomena Quantum entanglement is a fundamental and profoundly counterintuitive phenomenon in quantum mechanics. It refers to a special type of correlation between two or more quantum systems—such as particles like electrons or photons—that becomes so deeply intertwined that the state of each individual…
Low-code tools have opened the doors for anyone — not just developers — to build smart, AI-powered systems. In this guide, I’ll walk you through how to build a fully functional AI data analyst agent using Flowise. The agent will be able to analyze a CSV dataset and answer questions about it using SQL —…
The Kernel Hub is a game-changing resource that provides pre-optimized computation kernels for machine learning models. These kernels are meticulously tuned for specific hardware architectures and common ML operations, offering significant performance gains without requiring low-level coding expertise. Why Kernel Optimization Matters Hardware-Specific Tuning: Kernels are optimized for different GPUs (NVIDIA, AMD) and CPUs Operation-Specialized:…
As Artificial Intelligence (AI) continues to advance and become more integrated into various industries, it’s no secret that the job market is undergoing a significant transformation. While AI has the potential to automate many tasks, it also presents new opportunities for workers to upskill, reskill, and transition into emerging fields. From Manual Labor to Machine…