Transformers power today's generative AI. This guide breaks down self-attention, encoder-decoder structure, and practical implementation for engineers - no fluff, just what works.
Transformers revolutionized generative AI by replacing RNNs with parallel attention mechanisms. This guide explains how they work, their structure, training methods, and practical engineering considerations for implementing real-world AI systems.