Generative AI Day 2 | Transformer Architecture Basics

Colab File - https://colab.research.google.com/drive/1NqJLrtBinyLerVfwKVpNpY7Mm064apvF?usp=sharing Welcome to Day 2 of Generative AI & Agentic AI Full Course 🚀 In this video, we dive deeper into the core architecture of Large Language Models (LLMs) by understanding the Encoder, Decoder, and Model Parameters — the backbone of modern AI systems like ChatGPT. If you want to truly understand how LLMs process and generate text, this video is a must-watch. 🔹 Topics Covered: ✅ What is Encoder in LLM ✅ What is Decoder in LLM ✅ Encoder vs Decoder (Clear Difference) ✅ Transformer Architecture Overview ✅ What are Parameters in LLM ✅ Why parameters matter (billions/trillions) ✅ Real-world intuition & examples 🎯 This video is perfect for: ✔ Beginners in Generative AI ✔ Data Science & AI students ✔ Developers learning LLMs ✔ AI/ML interview preparation 👍 Like | 🔔 Subscribe | 💬 Ask your doubts in comments encoder decoder transformer llm architecture transformer model explained generative ai tutorial agentic ai course how llm works chatgpt working encoder vs decoder llm parameters explained deep learning machine learning nlp transformer ai for beginners gen ai course transformer architecture basics