Language Models, often referred to as Large Language Models (LLMs), have revolutionized the way computers understand and generate human language. They’re like super-smart AI writers, capable of crafting coherent and context-aware text. In this blog, we’re diving into the world of LLMs, text generation models (Next token prediction) and its evaluation techiniques.

We are going to take a different way of learning. Here I’m presenting question answer based method in which I’ll show the code first and ask questions about it. This is similar to real-world learning where we do something and keep asking ourselves questions until we understand it properly.

In the fast-evolving landscape of machine learning, having a well-equipped PC is essential for seamless development. This guide outlines the step-by-step process to set up your machine learning workstation, starting from the installation of the Ubuntu operating system to configuring essential tools like Conda, Nvidia drivers, and text editors.

I recently got myself a new computer – one with a powerful CPU and a fancy graphics card 😄. My aim was to have a system that would support both my personal tasks and my learning adventures. Since I was planning to leave my job and didn’t have a personal computer of my own, I put a lot of thought into what to buy and what configuration to choose. Ultimately, I decided to go for a high-end PC. Let me break down why I made this choice over getting a laptop.