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Train a small model on your examples, no gradients

Give user prompts and the label or answer each should get. Qwen3.5-0.8B gets new neurons, fitted by least squares from forward passes, with no gradients. Then type any prompt. The post explains how it works.

Continue in

1. Pick a task

2. Train it

User promptLabel
Settings evaluated

Train it, and each setting tried appears here.

Loading the recorded tasks…

3. Ask it something

Sign in to run

Typing your own prompts is free once you are signed in.

4. Compare

Unedited

Qwen3.5-0.8B as released, the labels in its prompt

Each prompt, labelled.

Trained

The same model with new neurons, no gradients