Transformers Explained Visually

Transformers have become the foundational architecture for modern AI, underpinning leading generative models and expanding into vision, audio, and scientific use cases. For CIOs and technology leaders, this reinforces that AI strategy should account for transformer-based capabilities as a core platform shift, not just a point solution, with implications for application modernization, data infrastructure, and talent development across IT. Understanding core components like embeddings, attention, and stacked blocks helps organizations better evaluate vendors, tune deployments, and align AI investments to business outcomes.