AI RESEARCH
The Transformer.
Exploring the boundary of artificial intelligence.
How we teach sand to think.
The Black Box, Opened
A guided walkthrough of the transformer architecture. Why attention wins. Why scale works.
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Deep Dives
Interactive lessons on each component of the transformer architecture.
01→
Tokenizer
How text becomes numbers. BPE, vocabulary size, and why average token length matters.
02→
Embeddings
Turning tokens into vectors. RoPE position encoding and semantic space.
03→
Attention
The core mechanism. How tokens talk to each other across distance.
04→
Transformer Block
LayerNorm, residuals, and the feed-forward network that holds knowledge.
05→
KV Cache
The memory trick that makes autoregressive generation possible.
06→
Modern Innovations
GQA, MLA, MoE, and attention residuals. How modern models scale.