← Back to article

Equation 18 · Dense, Sparse, and Distilled: Comparing Approaches to Frontier Model Capacity

What does this equation mean?

MM

Read the formula alongside the article passage below. Each part has a deeper page with its role in the equation, the supporting passage and nearby citations.

This mathematical expression combines the displayed quantities; its precise role follows from the surrounding article text. Read the equation part by part below; each part has a contextual explanation and a link to its mathematical background.

Read it piece by piece

MM

Symbol M

M is a part of this expression. Its role is fixed by the surrounding article and by the operations shown in the formula.

Understand this part →

How to interpret it

Read this expression with the definitions, units, and assumptions supplied by the article.

What the article says around this equation

Distillation attacks M directly. Hinton, Vinyals, and Dean set out the mechanism: train a small student to match the full output distribution of a large teacher rather than the hard labels, on the grounds that the teacher’s relative probabilities over incorrect classes carry information the labels do not [ 6 ] . The student learns a smoothed, information-rich target that is easier to fit than the raw task.

Read the equation in its article →

Sources cited in the surrounding passage

These citations give research context. Read each source to check which claims it supports.

Return to Dense, Sparse, and Distilled: Comparing Approaches to Frontier Model Capacity

Browse the mathematical compendium →