A Visual Model Of Self-Attention: Transformers Work Differently Now

Early-2026 explainer reframes transformer attention: tokenized text becomes Q/K/V self-attention maps, not linear prediction.
MIT Technology Review

LLMs contain a LOT of parameters. But what’s a parameter?

Think back to middle school algebra, like 2 a + b. Those letters are parameters: Assign them values and you get a result. In ...