Tag: transformer architecture
30Sep
Self-Attention and Positional Encoding: How Transformers Power Generative AI
Self-attention and positional encoding are the core innovations behind Transformer models that power modern generative AI. They enable models to understand context, maintain word order, and generate coherent text at scale.