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✦WonderMind
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How AI is built

Explore data, tokens, embeddings, transformers, attention, training pipelines, compute, and open models.

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How transformers work
Attention, embeddings, and context in one accurate mental model.
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Pretraining vs. fine-tuning
What each stage changes and what it cannot fix.
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RLHF and DPO explained
How preference data shapes a model after pretraining.
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Open-weight vs. closed models
Compare control, access, responsibility, and deployment.
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The hidden cost of AI
Compute, energy, latency, and money behind a seemingly instant answer.
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