Learn the fundamentals of Artificial Intelligence (AI), Machine Learning (ML), Deep Learning, and Generative AI, and dive deep into Transformer Architecture—the backbone of modern LLMs like ChatGPT, Gemini, and more.
In this video, we break down complex concepts into simple explanations, making it perfect for beginners as well as those preparing for AI/ML interviews.
🚀 What you’ll learn:
What is AI, ML, Deep Learning, and Generative AI?
Evolution of Artificial Intelligence (History simplified)
What problem does Generative AI solve?
Introduction to Transformer Architecture
Attention Mechanism explained (core concept)
Encoder vs Decoder (deep dive)
How models like GPT actually work
🧠 Why this matters:
Transformers power today’s most advanced AI systems. Understanding them is essential if you're:
Preparing for AI/ML interviews
Building LLM or RAG applications
Learning modern NLP concepts
⏱️ Chapters
00:00 Introduction
00:15 AI vs ML vs Deep Learning vs Generative AI
15:30 History of AI
16:50 Transformer Architecture Overview
20:00 Attention Mechanism Explained
30:00 Encoder Deep Dive
57:00 Decoder Deep Dive
📌 Resources
👉 RAG System Tutorial (Step-by-Step): https://youtu.be/v-Mrc4SodGQ
👉 More AI Interview Questions Playlist: https://youtube.com/playlist?list=PL4ADIG5W4gemH1Lmr26DFmxK8xkvbLVeH&si=i_F4gvxs2CzBRYpn
👍 Support If this helped you:
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