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OpenGenus Tech Review Team

OpenGenus Tech Review Team

The official account of OpenGenus's Technical Review Team. This team review all technical articles and incorporates peer feedback. The team consist of experts in the leading domains of Computing.

Tokyo, Japan •
3722 posts •
Deep Learning

Run Llama3.1-8B (LLM) on DigitalOcean CPU droplet

In this guide at OpenGenus.org, we present the steps to setup the minimum required DigitalOcean CPU droplet, download Llama3.1-8B-Instruct model, prepare the script to run it on a sample input and generate the output. The computation time can vary from 2 to 10 minutes (or beyond).

Aditya Chatterjee Aditya Chatterjee
books

C++ Coding Cheatsheet: GOAT edition

The book "C++: Coding Cheatsheet: GOAT edition" is the only book you need to master C++ programming concepts. The focus is on practical programming skills, design concepts and performance engineering ideas.

Jey Son Chuah

Multi-Agent Cyber-Physical Systems

So far we've been only talking about single-agent systems. However, as we attempt to model complex systems in the real world, we shall soon find that in most cases a single agent will not suffice.

Sarthak Das
Go Programming Language

Introduction to Concurrency in Go

A goroutine is a function that runs concurrently to other functions. Channels provide a medium for goroutines to communicate with each other.

Hamza Mateen Hamza Mateen
PyTorch

Understanding the differences and use Cases of torch.Tensor.max and torch.max in PyTorch

torch.Tensor.max is an instance method that applies directly to a torch.Tensor object and is mainly used to find maximum values within a single tensor. torch.max is a module-level function used to compare two tensors element-wise.

Godwin AMEGAH

An Introduction to Cyber-Physical Systems

Put in simple terms, a cyber-physical system (CPS), as the name suggests, is a dynamical system that exhibits both discrete (cyber) and continuous (physical) dynamic behavior.

Sarthak Das
Linux

Understanding Linux Namespaces: The Building Blocks of Containerization

Containerization uses specific features of the Linux kernel to create isolated environments for running applications.

Shruti
cyber security

Goals of Network Security

Network security is a critical aspect of modern computer networks, ensuring the protection of data, systems, and resources from unauthorized access, damage, or disruption.

Kazi Priom Kazi Priom
Java

Basics of OOP in Java: Contact Book Program

In this OpenGenus article, you will learn how to apply the basic concepts of object-oriented programming (OOP) to develop a simple, console-based contact book application.

Scott Chen

Exploring Randomness and Statistical Simulations in Online Games

The ever-changing online gaming world is built with randomness as an integral part. Randomness is needed because it gives variety and fun purely from the unpredictability of the fate of the characters' abilities.

Badal Srivastava
Python

Dodgeball game in PyGame [with source code]

In this OpenGenus article, let us create a Dodgeball game in Python. You can customize your game along the way without having to stick to my design choices.

Sridevi Shankar
Machine Learning (ML)

Active Learning: How Machines Learn Better with Human Guidance

Active learning solves this problem by letting the model query a human expert for labels on the most uncertain or informative data points.

Nicholas Adenmosun
Deep Learning

Retrieval Augmented Generation (Concepts)

The RAG concept was first introduced in the paper "Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks" by Patrick Lewis and team at Facebook AI Research, which caught the attention of AI developers and industrial scientists.

Godwin AMEGAH
Deep Learning

Bilinear Upsampling

In this OpenGenus article, let us discuss Bilinear Upsampling which pops up quite bit in regards to image manipulation and processing in a greater detail.

Shivangi Chatterjee
Hashing

Chameleon Hash: Balancing Security and Flexibility in Cryptographic Hashing

In this OpenGenus article, we examine the key properties of Chameleon hash functions, their construction, and their potential applications, and provides an overview of their advantages and limitations in modern cryptographic systems.

Arpish R. Solanki
Computer Architecture

Physical and Architectural Constraints in CPUs and GPUs

Central processing units (CPUs) and graphics processing units (GPUs) are fundamental components of modern computer systems, each fulfilling different but complementary roles.

Arpish R. Solanki
Software Engineering

Unleashing the Power of .td Files: TableGen

In this OpenGenus article, we cover some of the basic concepts of .td files and the functionalities and components of TableGen and its importance in the LLVM project. We will also review several use cases and benefits of using TableGen for code generation and optimization.

Md. Soyeb
Software Engineering

A Beginner's Guide to Kubernetes

In this OpenGenus article, we have explored the topic Kubernetes from scratch with real life example.

Shivani Kumari Shivani Kumari
Software Engineering

Light as a Feather: The Art of the Flyweight Pattern

In this OpenGenus article, we'll unravel the nuts and bolts of the Flyweight Pattern, exploring how it reduces memory footprint while optimizing performance.

Md. Soyeb
Deep Learning

Kolmogorov-Arnold Networks

Kolmogorov-Arnold Networks (KANs) have emerged as a promising advancement in the field of neural networks, offering enhanced interpretability, efficiency, and adaptability compared to traditional architectures like the Multi-Layer Perceptron (MLPs).

Daniel Alvarez
Deep Learning

Implementing Simple CNN model in PyTorch

In this OpenGenus article, we will learn about implementing a simple CNN model using PyTorch Deep Learning framework.

Vedashree D
PyTorch

Internal Implementation of Tensors in PyTorch

In this OpenGenusarticle, we'll delve into the internals of how tensors are implemented in PyTorch, referencing the code from various components of the PyTorch source code repository.

Vedashree D

Memory Density Limits in Computers: Theoretical Boundaries and Practical Advances

Memory density refers to the capacity of information that can be contained within a defined physical dimension in a memory system. The increasing demand for superior memory density in computational settings is driven by the rapid expansion of data produced across various fields.

Arpish R. Solanki
Deep Learning

as_strided op in PyTorch

So you've now finally begun working towards building your first network in PyTorch. You're working with tensors in the dataset, you wish to alter their shape, or do some form of operations. The as_strided() function in PyTorch can be very useful for this.

Jey Son Chuah
Machine Learning (ML)

Stepwise Regression

We will be learning about stepwise regression- a technique that will help us find the best set of variables to choose for our linear regression.

Jey Son Chuah
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