Transformers Architecture Explained | Attention Mechanism, Self Attention, Encoder vs Decoder | Generative AI Course Lecture 6
Dive deep into the core architecture behind modern AI systems like ChatGPT, Gemini, Claude, and other Large Language Models (LLMs). In this lecture, you'll learn how Transformers work, including Attention Mechanism, Self-Attention, Encoder vs Decoder architecture, and why Transformers revolutionized Generative AI.
📌 In this video, you will learn:
What is Transformer Architecture?
Why Transformers replaced RNNs and LSTMs
Attention Mechanism explained simply
Self-Attention step-by-step
Multi-Head Attention
Positional Encoding
Encoder vs Decoder explained
🎯 This lecture is part of the complete Generative AI Course designed for beginners and developers who want to master AI and Large Language Models.
🔥 Perfect for:
AI Beginners
Machine Learning Engineers
Deep Learning Students
NLP Enthusiasts
Generative AI Developers
📚 Generative AI Course – Lecture 6
#Transformers #GenerativeAI #AttentionMechanism #SelfAttention #LLM #ChatGPT #DeepLearning #MachineLearning #AI #NLP #EncoderDecoder #ArtificialIntelligence
