Скачать или смотреть NLP 11: Mastering Transformers Understanding Encoder-Decoder Architecture in Deep Learning

The architecture that runs the world. In Part 11, we put it all together. We explore the full Transformer Network introduced in the famous paper "Attention Is All You Need." We break down how the Encoder (used in BERT) and the Decoder (used in GPT) work together to solve complex tasks like Machine Translation.

In this video, we cover:

The Big Picture: Why we need an Encoder to "Understand" and a Decoder to "Generate."

The Encoder Stack: Self-Attention + Feed Forward Networks (The Brain).

The Decoder Stack: Masked Attention + Cross-Attention (The Mouth).

Cross-Attention: The magical link where the Decoder "looks back" at the Encoder's understanding.

Positional Encoding: Reminding the model that word order matters.

This is the definitive guide to the architecture that killed RNNs and birthed the LLM era.

Subscribe to see how we use this for BERT in the next video! #TransformerArchitecture #BERT #GPT #DeepLearning #GenAI #EncoderDecoder #AttentionIsAllYouNeed