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Case Study — Educational Tool

Perceptron LLM

An interactive playground for watching a language model choose its next word, one probability at a time.

Data Visualization Web Development Machine Learning
A prompt typed in and generated locally — the model runs entirely in the browser.

You type a prompt and it generates one token at a time, surfacing the candidate next words and their probabilities at each step. Temperature, top-p, and max tokens are exposed as live controls, so the sampling process that usually happens out of sight becomes something you can watch and adjust.

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