AI Education / Interactive Explainer
An interactive browser city that visualizes how an LLM works, with live transformer mechanics such as tokenization, attention, KV cache, residual stream, and sampling.
The page clearly presents a real, browser-based AI educational product with substantial visible content. It explains the concept, shows interactive controls and districts, and describes concrete model parts like tokenizer, embeddings, attention, residuals, feed-forward, and sampling. The snapshot also includes a detailed note on what is real versus simplified, which makes it useful for a public listing.
The crawl does not show whether the project is open source, downloadable, or intended for a specific audience beyond the general explanation. It also does not expose technical implementation details such as supported models, code access, or deployment status.
Last evaluated just now. Current rank #17. Down 2 spots in the rankings.
No related listings yet.
