Equation 2 · Part 1 · Shrink It, Train It Small, or Search for It: The Main Strategies for Small Models, Compared
Symbol z_t
What this part means
the teacher’s and student’s output logits.
Its job in the formula
is a part of this expression. Its role is fixed by the surrounding article and by the operations shown in the formula.
Full expression→Symbol z_t→Article meaning
Where the article explains it
where and are the teacher’s and student’s output logits, a softmax, T a temperature that softens the distribution, and y the ground-truth label.
The passage around this formula
where and are the teacher’s and student’s output logits, a softmax, T a temperature that softens the distribution, and y the ground-truth label. The second term is the entire point of the method: it transfers the relative probability the teacher assigns to every wrong answer, not just which answer was right, a far richer training signal per example than a raw label alone provides. That is the rationale, stated plainly by the paper that introduced it.
Learn the underlying idea
A subscript is a label attached below a symbol. It often selects a time step, component, category, or member of a sequence.
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Sources cited in the article section
- [1] Distilling the Knowledge in a Neural Network ↗
- [3] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning ↗
- [2] Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding ↗
These citations provide research context; check each source for the exact claim it supports.