-
Running AI Models in the Browser with Transformers.js
Running real AI model inference directly in the browser with Transformers.js, no server or API key required.
-
A Brief History of AI: From Perceptrons to Transformers
From Rosenblatt’s 1958 Perceptron through two AI winters to the 2017 Transformer paper — and why today’s scaling-driven progress looks structurally different.
-
The Attention Mechanism in Deep Learning Explained
The attention mechanism explained concretely through queries, keys, and values, and why it resolves long-range dependencies better than older sequential models.
-
The Transformer Architecture Explained, Layer by Layer
The Transformer architecture explained layer by layer: self-attention, multi-head attention, and why decoder-only models became the dominant LLM design.