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A Deep Dive into Modern Vision Architectures: ViTs, Mamba Layers, STORM, SigLIP, and Qwen 01
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Token-Efficient Long Video Understanding for Multimodal LLMs explained step by step
03
LU Decomposition Method Is A Quick, Easy, and Credible Way to Solve problem in Linear Equations
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Learn how to build an AI agent that answers questions based on a CSV dataset using Flowise.
KNCMAP AI

Technology

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The Future of Work, AI Is Changing Work Forever – Are You Ready or Will The Algorithms Replace you?
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AI in 2025: 6 Key Trends Transforming Work, Wealth, and the World
setting up a data lake from scratch
How to Fix the 403 Forbidden Error in WordPress
VISION MODELS

A Deep Dive into Modern Vision Architectures: ViTs, Mamba Layers, STORM, SigLIP, and Qwen

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…

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multimodal llms

Token-Efficient Long Video Understanding for Multimodal LLMs explained step by step

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…

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introduction to quantum computing

Have you ever heard of quantum computers that can do things regular computers can’t.

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…

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LU DECOMPOSITION

LU Decomposition Method Is A Quick, Easy, and Credible Way to Solve problem in Linear Equations

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…

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QUANTUM COMPUTING CHIP

Entanglement is a fundamental concept of quantum mechanics that describes a non-classical correlation

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…

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Learn How to Enhance Your Models in 5 Minutes with the Hugging Face Kernel Hub

Learn How to Enhance Your Models in 5 Minutes with the Hugging Face Kernel Hub

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:…

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AI AND THE FUTURE OF WORK

The Future of Work, AI Is Changing Work Forever – Are You Ready or Will The Algorithms Replace you?

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…

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