Transformer Architecture Explained

Transformer Architecture Explanation from the paper: Attention is all you need. Watch each components of Transformer Architecture in Detail: 1) Tokenization    • LLM Training Starts Here: Dataset Preparat...   2) Embeddings    • What Are Word Embeddings?   3) Attention Mechanism    • How Attention Mechanism Works in Transform...   Read Original Paper Here: https://arxiv.org/abs/1706.03762 Timestamp: 0:00 - Introduction 1:15 - Dataset Preparation 2:15 - Encoder: Tokenization, Embedding, PE 5:50 - Encoder: Attention Mechanism 10:05 - Encoder: MHA, Add & Norm, FFNN 13:20 - Decoder: Tokenization, Embedding, PE, MMHA 16:27 - Decoder: Cross Attention, Output 18:05 - Transformer Inference