Equation 5 · Part 13 · The Hardest Unsolved Problems in Small and On-Device AI

Ending index or upper bound: T

\bar{\Delta} = \frac{1}{T}\sum_{t=1}^{T}\left(\mathrm{Acc}_t^{FP} - \mathrm{Acc}_t^{Q}\right)

T

What this part means

This label says where the repeated addition, multiplication, or accumulation stops. It sets the last term or end of the range.

Its job in the formula

T occurs below the fraction bar. The quantity above the bar is divided by this expression; zero is excluded as a denominator.

Full expressionEnding index or upper bound: TArticle meaning

The passage around this formula

Formally, if a model is evaluated on T tasks with full-precision accuracy $\mathrm{Acc}_t^{FP}$ and quantized accuracy $\mathrm{Acc}_t^{Q}$ on task t , a benchmark table typically reports the mean regression $\bar{\Delta} = \frac{1}{T}\sum_{t=1}^{T}\left(\mathrm{Acc}_t^{FP} - \mathrm{Acc}_t^{Q}\right)$ . while what governs whether any individual deployment is safe to ship is closer to the worst-case regression

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Learn the underlying idea

Σ adds a collection of terms. Π multiplies them. The lower and upper labels tell you which terms belong to the collection.

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Sources cited in the article section

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