Learning from a teacher — illustrated edition

A deeper companion to ML015: follow illustrated weather forecasts, day-by-day variance, eight gradient-routing stages and an explicit rejection-sampling simulator.

Keep the original ML015 overview, or explore this deeper version with day-by-day error comparisons, an eight-stage gradient diagram and explicit acceptance and correction sampling.

Inspired by Jayden Teoh (MIT), Multi-Token Prediction Done Right (2026), arXiv:2610.38331. Original toy examples and numbers by 21IFM.

An illustrated Monday-to-Wednesday timeline aligns a junior look-ahead forecast with a teacher forecast of the same future weather.

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