Explainer Video on AI Attention Mechanism Released

A new video has been released that provides a visual explanation of the Attention mechanism, a crucial component of Transformer-based language models. The video covers how text is divided into tokens and how Query, Key, and Value representations are used to create Attention Scores and weights. It also explains the concept of Multi-Head Attention, showing how different attention heads capture various relationships within a sentence. This explainer aims to clarify how AI models use context to connect words with meaning.