L-2 | Let’s Build a GPT-Style Language Model Step by Step (Using PyTorch)

In this lecture, we are going to build our own Mini GPT Language Model from scratch using PyTorch! This is a beginner-friendly, step-by-step implementation of a tiny language model that learns to predict the next word, just like how GPT and other Large Language Models work internally. ⭐ What you’ll learn in this lecture How LLMs like GPT work (quick recap) Understanding the probability formula behind next-word prediction Creating your text dataset Tokenizing words into numerical IDs Building the model architecture in PyTorch Training the mini GPT Making predictions with your trained model Whether you are a beginner or someone who wants to understand the foundations of GPT-style models, this lecture will give you deep clarity + full practical implementation. GitHub: https://github.com/codewithaarohi/Build-a-Mini-GPT-Model-From-Scratch-Using-PyTorch 📸 Follow me on Instagram: @codewithaarohi 🔗 https://www.instagram.com/codewithaarohi/ 📸 Follow me on Instagram (English): @codewithaarohihindi 🔗 https://instagram.com/codewithaarohihindi 📧 You can also reach me at: aarohisingla1987@gmail.com