
How Data Transfer Takes Place from RAM to SSD: A Detailed Insight
In modern computing, the seamless transfer of data between various hardware components is crucial for maintaining system performance and efficiency.
In modern computing, the seamless transfer of data between various hardware components is crucial for maintaining system performance and efficiency.
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.
Cryptocurrency has taken the world by storm, evolving from a niche concept into a mainstream financial asset class.
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.
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).
What is a Data Lake? A data lake is a centralized repository that stores vast amounts of raw data in its native format. Unlike traditional data warehouses, which require predefined schemas and are optimized for structured data, data lakes store unprocessed data. This approach provides greater flexibility for advanced analytics, real-time data processing, and machine…
What is Mixture of Experts? Mixture of Experts (MoE) is a technique that uses many different sub-models (or “experts”) to improve the quality of LLMs. Two main components define a MoE: Experts – Each FFNN layer now has a set of “experts” of which a subset can be chosen. These “experts” are typically FFNNs themselves. Router or gate…
In today’s technological landscape, robots are increasingly becoming an integral part of various industries, revolutionizing the way tasks are performed.
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 —…
Just two years ago, I had zero experience in artificial intelligence. I didn’t come from a technical background, and I didn’t know how to code. But I taught myself how to build AI agents—one step at a time. Fast forward to today, I’ve: Generated over $5 million in revenue through multiple AI-focused businesses Grown my YouTube channel…
Large Language Models (LLMs) have become one of the most transformative technologies in the field of artificial intelligence (AI).
How Machine Learning Works: A Beginner’s Guide Machine Learning (ML) is a branch of artificial intelligence that enables computers to learn from data and make decisions without being explicitly programmed. This beginner-friendly guide breaks down the core concepts behind ML, including how models are trained, the difference between supervised and unsupervised learning, and how algorithms…
The introduction of DeepSeek has triggered a paradigm shift in the AI landscape. Its ability to outperform existing technologies at a fraction of the cost has sent ripples throughout the tech industry.
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…
The Laplace Transform is a powerful mathematical tool widely used in engineering, physics, and applied mathematics.