In the last blog, we looked at Layer 1 and Layer 2 of the OSI Model. While Layer 2 (Data Link Layer) adds a lot of improvements over Layer 1, like the ability to identify individual devices in the local network with the help of MAC addresses, it still only works best over local area networks (LAN). In this blog, let’s see some shortcomings of Layer 2 and how Layer 3 of the OSI Model improves upon them. ...

The OSI (Open Systems Interconnection) Model is a framework that helps understand how communication between computers takes place in a network. It consists of 7 layers, and each layer builds on top of the ones below it and adds additional functionality. In this blog, we’ll understand the different layers part of this model, starting from Layer 1 at the bottom. All layers rely on the layers below them to continue functioning. ...

Welcome to the first in a series of blog posts about AWS! Throughout this series, I’ll be covering various AWS topics as I prepare for the AWS Solutions Architect exam. I thought what better place to start than with one of the most fundamental steps when beginning with AWS: creating an account. In this post, I’ll discuss the root user that’s created with your AWS account and how it differs from IAM users. ...

Recently I was tinkering around with creating a Chrome extension. Not having a lot of experience with this, I did what the cool kids these days are doing: I decided to use ChatGPT for helping me write code. And don’t get me wrong, ChatGPT (or other AI tools for that matter) does a decent job of helping you create things and spot bugs. But it’s a gun that can easily backfire if you don’t know what you’re doing with it. This blog is going to be about one such incident that happened to me when working on this project. ...

If you’re developing or thinking of creating an app that leverages the OpenAI API but don’t want to put down your credit card until you’re sure you have something, I have good news for you. In this article I’m going to show you how you can create a backend API which is compatiable with the OpenAI API. However, when running this API locally during development, we will use the Llama3 model running locally on your laptop. When you want to use this in production, all you need to do is change the environment variables, and everything else will remain the same :) ...