Transformers Explained by Example

The Transformer architecture has revolutionized the world of machine learning and artificial intelligence. Stemming from the groundbreaking paper 'Attention is All You Need,' this technology has taken the world by storm, with the advent of OpenAI's ChatGPT. In this enlightening video, we delve into the fascinating workings of a Transformer model. Join us as we unravel the complexities of attention layers, unravel the mysteries of positional encoding, and explain the intricacies of feeding data into a Transformer. Moreover, Transformers come in three distinct varieties: Encoders, Decoders, and Encoder-Decoder Models. We'll explore each of these in depth, providing insights into their unique functions and applications. Whether you're a seasoned AI enthusiast or a curious newcomer, this video is your gateway to understanding one of the most influential technologies in modern AI.

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Timestamps:
00:00 Intro
00:29 Why Transformers?
02:02 What are Transformers?
05:33 Input Encoding
06:48 What are vector embeddings?
07:40 Positional Encoding
12:11 The Decoder
14:10 Encoder-Decoder Models

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