Transformer Architecture Explained simply with our Vishnu's Weapons | Tamil #beginnerfriendly

Transformers are the backbone of modern LLMs! But how does a Transformer actually work? 0:00 - Introduction 0:30 - Use case 0:50 - Author's Note 2:08 - Encoder - Decoder Recap 2:45 - Build Vocabulary 3:15 - Tokenization 3:30 - Embedding Layer 4:32 - LSTM Attention Recap 6:10 - LSTM drawbacks 6:56 - Positional Encodings 18:00 - Self-Attention 30:45 - Encoder Flow 31:30 - Multi-Head Self Attention 34:53 - Residual Connection 37:16 - Layer Normalization 38:52 - Final Network 41:15 - Decoder Introduction 41:34 - MASKED Self-Attention 45:09 - Masked Multi-head self attention 46:26 - Encoder-Decoder Attention 48:35 - Residual connection & Layer Normalization 49:19 - Dense Layer & Softmax Layer Python in 10 videos -    • Python in 10 videos   Data Science Career Transition: Data Analyst vs Data Scientist vs Data Engineer. Watch here -    • Start your Data Science Career: Become a D...   MLOPS from scratch -    • Machine Learning Operations (MLOPS) in Tam...   Statistics Playlist -    • Statistics for Data science [EPISODE -01] ...   Machine learning series -    • Machine learning மெதுவாக!   Deep Learning Series -    • Build your First Neural Network in PyTorch...