Every transformation — from text to tokens to embeddings to vectors — happening live, inside the nodes.
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Text Input
Tokenizer
Token IDs
Embedding
weight lookup table
Vector
float32 · 24d
Embeddings lesson · animated demo · click any node to explore
The tokenizer node splits your text into colored pills — exactly like OpenAI's tokenizer tool. The embedding node renders 768 floats as a heatmap. The vector node shows bar charts. Real data, not placeholders.
Start Embeddings →4 tokens · BPE
768 dims · float32
Embeddings
Embedding Layer
Direct Answer
Think of it as giving each word a unique fingerprint. Words with similar meanings end up with similar fingerprints.
💡 Analogy
The same machine that processed all stored documents now processes your question — so they speak the same language.
→ Why it matters
This is where language becomes mathematics. Similar words produce similar vectors.
Toggle between Visual for the shape of what's happening, Simple for a plain-English analogy, and Deep for the precise definition and math. Switch mid-lesson without losing your place. Your preference is saved to your account.
Create free account →Resume exactly where you stopped. Your last visited node, your depth preference, your lesson completion — all saved to your account. Come back three days later and you're right where you left off.
Your lessons
Pick up where you left off
MostAItutorialstellyouwhathappens.CRINshowsyou.
Curriculum
26 lessons across 6 phases. Start anywhere — each lesson is self-contained.
New lessons ship when they're ready — no schedule, no filler.
Pricing
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We may add a paid tier for advanced features. Everything available today stays free.
FAQ
Contact
Questions about the product? Feedback on a lesson? Ideas for what we should build next? We'd genuinely love to hear from you.
We're a small team — response time varies, but we read and reply to every email.
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hello@crin.ai
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