Explaining the Self-Attention Mechanism in LLMs
The Self-Attention mechanism is the true heart of the Transformer architecture, the foundation behind every modern Large Language Model (LLM). Before Self-Attention was introduced in the landmark paper “Attention Is All You Need” (Vaswani et al., 2017), language models processed text sequentially, word by word (or token by token), using Recurrent Neural Networks (RNNs). This … Read more