Transformer Architecture Explained 'Attention Is All You Need'

In this video, we dive into the revolutionary transformer architecture, which uses the "Attention" mechanism to understand word relationships regardless of their position. We'll break down the transformer architecture as presented in the seminal "Attention Is All You Need" research paper, covering its Attention Mechanism, Multi-Headed Attention, and Encoder-Decoder structure. By the end, you'll have a solid understanding of how transformers work, equipping you to appreciate the latest advancements in AI technology. We'll use examples to illustrate how transformers excel in processing sentences, like understanding the relationships in "The animal didn't cross the street because it was too tired." Join us to unlock the power of transformers and stay tuned for future videos where we'll delve deeper into training large language models (LLMs) based on this architecture. FOLLOW ME ON: ▶️ Main Channel: /bytemonk Timestamps - 00:00 - Introduction 00:39 - Transformer Architecture 01:30 - Attention Mechanism 03:20 - Self Attention 04:25 - Tokenizer 06:49 - Encoder 08:44 - Decoder 11:38 - Encoder & Decoder LinkedIn:   / bytemonk   System Design Interview Basics Playlist: ►   • System Design Interview Basics   AWS Certification: ►AWS Certified Cloud Practioner:    • How to Pass AWS Certified Cloud Practition...   ►AWS Certified Solution Architect Associate:    • How to Pass AWS Certified Solution Archite...   ►AWS Certified Solution Architect Professional:    • How to Pass AWS Certified Solution Archite...   #transformers #transformersanimated