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Look inside AI.

One prompt, seven experiments. Choose how much detail to see.

EXPLANATION DEPTH
YOUR PROMPT · 18 charactersThe cat sat on the
STEP 01 / 07

Everything starts with your words.

The prompt is the context for prediction.

A tokenizer turns text into numeric IDs. The model then processes those numbers.

TEXT → TOKENS → ID
Research & verificationTransformers and next-token predictionPeer reviewed
Peer reviewedSite demo: not independently audited
Attention Is All You Need ↗Vaswani and colleagues, NeurIPS 2017, 2017

Publication review: Peer-reviewed conference publication that established the Transformer architecture. GPT-2 autoregressive decoding is a later development.

Independent verification: The step-by-step explanations summarize a typical autoregressive pipeline; they are not independently audited claims about any single deployed model.

Peer review of a paper does not certify this demo.

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