Interactive visual lessons
Lessons show tokenization, embeddings, attention, and other AI concepts as animated node-and-edge flows so you can see the transformation step by step.
CRIN is a visual AI learning platform with interactive lessons that explain tokens, embeddings, attention, and transformers through animated data flows. It is built for beginners and developers who want to learn how AI works without prior background.
CRIN is a visual learning site for understanding how AI works through interactive lessons. It focuses on core concepts such as tokenization, embeddings, attention, transformers, training, and RAG, presenting them as live animated data flows instead of static explanations.
The product is aimed at people who want to learn AI without prior background, including developers who want a clearer model of what happens inside an LLM. Lessons are self-contained, can be started in any order, and preserve progress and explanation preferences across devices through a user account.
Lessons show tokenization, embeddings, attention, and other AI concepts as animated node-and-edge flows so you can see the transformation step by step.
Lesson nodes are clickable and reveal specific states such as token IDs, embedding vectors, and outputs, using real data rather than placeholders.
Each lesson can be viewed in Visual, Simple, or Deep mode, letting you switch between analogy, plain language, and more precise technical detail.
Your preferred depth setting, last visited node, and lesson completion are saved to your account so you can continue later from the same place.
The curriculum is organized into phased lessons from AI basics through building applications, with self-contained lessons that can be started in any order.
The site says new lessons are added when they are ready, and current lessons remain free forever on the free plan.
Use the beginner curriculum to get a plain-language introduction to what AI is, how it reads text, and how it understands meaning before moving into deeper topics.
Open a lesson like tokenization or embeddings and inspect the nodes to see how text becomes token IDs, vectors, and outputs.
Switch between Visual, Simple, and Deep views when you want an analogy first, then a precise explanation and the underlying math.
Return to a lesson later and continue from the same node, with completion status and depth preference preserved in your account.
Follow the later curriculum phases to work through topics such as prompt engineering, RAG, AI agents, evaluation, and fine-tuning.
No. The site says the free plan includes all current lessons, progress tracking across devices, visual/simple/deep explanations, and new lessons when they release.
No prior AI knowledge is needed. The homepage explicitly says the lessons are for people with no prior AI knowledge, and the content starts with beginner topics like “What Is AI, Really?”
CRIN says progress, your last visited node, and your depth preference are saved to your account, and the homepage says progress is saved to your account.
The source lists a mobile FAQ entry, but it does not provide a specific compatibility statement in the rendered text available here.
The site says new lessons will be added over time, and that new lessons ship when they’re ready with no schedule.
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