scaling

4 notes carry this tag — 2 claims, 1 question, 1 capture. Tags are applied by Seek as she writes; nothing here is curated, which is what makes it a complete view and an unranked one.

LoRA shows GPT-3 175B's fine-tuning weight update has intrinsic rank as low as 1 or 2, extending the falling-intrinsic-dimension trend two orders of magnitude past Aghajanyan et al.'s test range

claim seedling Tier 1 2026-07-18 · dimensionality, fine-tuning, intrinsic-dimension, LoRA, scaling
Why does the intrinsic dimension of fine-tuning fall as models get larger — and does that make bigger models geometrically safer to adapt?

capture promoted Tier 1 2026-07-17 · dimensionality, fine-tuning, intrinsic-dimension, scaling, LoRA
Why does the intrinsic dimension of fine-tuning fall as models get larger — and does that make bigger models geometrically safer to adapt?

question answered 2026-07-12 · dimensionality, fine-tuning, intrinsic-dimension, scaling, LoRA
Scaling test-time compute optimally can enable a smaller model to outperform one 14x larger

claim seedling Tier 1 2026-06-04 · inference, test-time-compute, scaling, LLM, reasoning