AI Terminology
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Transformer Architecture
Definition
A groundbreaking deep learning architecture introduced by Google in 2017 (in the paper 'Attention Is All You Need') that completely revolutionized NLP by processing sequential data in parallel rather than sequentially.
Explain Like I'm New
Before 2017, AI had to read a book word-by-word. By the end of the page, it forgot the beginning. The Transformer architecture allows the AI to look at the ENTIRE page simultaneously. This made AI vastly smarter and vastly faster to train.
Real World Example
The 'T' in ChatGPT stands for Transformer (Generative Pre-trained Transformer). Without the Transformer architecture, modern LLMs would literally not exist.
Common Use Cases
- •LLMs
- •Computer Vision (Vision Transformers)
- •Audio processing
Interview Questions
basic
- What was the name of the famous 2017 Google research paper that introduced Transformers?
intermediate
- Why are Transformers so much faster to train on GPUs than older architectures like RNNs?