From Static to Contextual: The Evolution of Embedding Fundamentals

The progression from one-hot encoding to Word2Vec to transformer-based contextual embeddings represents one of the most consequential arcs in modern AI. Each generation solved real limitations of the previous one, and understanding why reveals the design principles behind today's most powerful models.