Multi-head attention lets large language models understand language by analyzing it from multiple perspectives at once. This mechanism powers GPT-4, Llama 3, and other top AI systems, enabling them to grasp grammar, meaning, and context with unmatched accuracy.
Retrieval-Augmented Generation (RAG) lets AI answer questions using live data instead of outdated training. It cuts hallucinations, updates instantly, and powers enterprise AI today. Learn how it works, where it shines, and what to avoid.