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…
What is a large language model (LLM)? Large Language Models are machine learning models that employ Artificial Neural Networks and large data repositories to power Natural Language Processing (NLP) applications. An LLM serves as a type of AI model designed to be able to grasp, create, and manipulate natural language. These models rely on deep…
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.
Exploring Jetpack Components Jetpack is a suite of libraries, tools, and guidance provided by Google to simplify Android app development. It helps developers build robust, maintainable, and modern Android applications with less boilerplate code and more powerful features. What are Jetpack Components? Jetpack components are categorized into four main groups: Architecture ComponentsDesigned to help you…
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…
How a Large Language Model (LLM) predicts the next word, including all the mathematical operations involved at each step, with the appropriate vector and tensor manipulations.
What is a Statistical Interaction? In research and statistical modeling, understanding how independent variables affect a dependent variable is key to drawing meaningful conclusions. However, the effect of one independent variable on the dependent variable can be more complex when other independent variables are involved. This complexity is referred to as statistical interaction. A statistical…
Artificial Intelligence (AI) is no longer a futuristic concept – it is deeply integrated into our everyday lives, powering everything from virtual assistants to advanced robotics.
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:…
Large Language Models (LLMs) come in various optimized forms, each designed for specific use cases, efficiency, and performance. In this guide, we’ll explore the different types of LLMs (like distilled, quantized, sparse, and MoE models) and how they are trained. In the fast-evolving world of Large Language Models (LLMs), different model types serve different performance and deployment goals…
