L-1 | LLMs Explained — Conceptually & Mathematically | Lecture 1 | LLMs Course

In this first lecture, we’ll build the foundation for understanding how LLMs like GPT actually work — from a conceptual and mathematical perspective. You’ll learn: ✅ What a Language Model (LM) is ✅ How computers understand language ✅ The meaning of probabilities in text modeling ✅ The chain rule of probability for next-word prediction ✅ Why modern LLMs are autoregressive models ✅ Step-by-step breakdown using the example “The tea is very hot.” By the end of this lecture, you’ll clearly understand how LLMs learn to predict the next token and why that simple concept powers models like ChatGPT, Gemini, and Claude. 📸 Follow me on Instagram: @codewithaarohi 🔗 / codewithaarohi 📧 You can also reach me at: aarohisingla1987@gmail.com #LLMs #LargeLanguageModels #GPT #ChatGPT #Transformers #DeepLearning #NeuralNetworks #MachineLearning #AI #ArtificialIntelligence #AutoregressiveModels #PyTorch #BuildYourOwnGPT #LLMCourse #AarohiSingla #LLMsExplained #LLMfromScratch #NLP #NaturalLanguageProcessing