DeepSeek, a Transformer model, uses multi-head latent attention and a mixture-of-experts (MoE) for efficient processing. The lecture visualizes calculations (via spreadsheet) showing embedding, attention, and MoE routing. Positional encoding and dimensionality reduction are key features. A viewer challenge to replicate calculations is offered.