Equation 33 · Part 2 · Shrink It, Train It Small, or Search for It: The Main Strategies for Small Models, Compared
Symbol C_reuse
What this part means
the compression pays mostly.
Its job in the formula
euse is one of the signed contributions combined to compute the quantity on the left.
Full expression→Symbol C_reuse→Article meaning
Where the article explains it
Compression pays mostly , a documented small fraction of a from-scratch training cost [ 3 ] , but only if a suitable large model is available to reuse in the first place.
The passage around this formula
…is not describing what any of them actually trades off. Each holds a different quantity fixed as “already spent” and treats a different quantity as the one still to be paid: . Compression pays mostly , a documented small fraction of a from-scratch training cost [ 3 ] , but only if a suitable large model is available to reuse in the first place. Training small on purpose pays and in full, with no discount, in exchange for a model that inherits…
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.
Open the illustrated subscripts: which member of a family? guide →
See this notation across published equations →
Sources cited in the surrounding passage
- [3] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning ↗
- [7] Neural Architecture Search with Reinforcement Learning ↗
- [10] Once for All: Train One Network and Specialize it for Efficient Deployment ↗
These citations provide research context; check each source for the exact claim it supports.