Super Data Science: ML & AI Podcast with Jon Krohn cover image

759: Full Encoder-Decoder Transformers Fully Explained, with Kirill Eremenko

Super Data Science: ML & AI Podcast with Jon Krohn

00:00

Understanding Full Encoder-Decoder Transformers for Translation Tasks

The chapter provides a detailed explanation of full encoder-decoder transformers used for translation tasks, breaking down the process into encoder and decoder components. It explains how English words are transformed into context-rich vectors in the encoder and how the decoder generates the translation word by word based on probabilities. The chapter also explores the concept of cross-attention between English and Spanish vectors to enhance the translation process.

Transcript
Play full episode

The AI-powered Podcast Player

Save insights by tapping your headphones, chat with episodes, discover the best highlights - and more!
App store bannerPlay store banner
Get the app