Prof. Tom Yeh's interactive diagram makes Full Fine-Tuning vs LoRA costs click
ProfTomYeh · x · 2026-09-19
Prof. Tom Yeh released part 9 of his fine-tuning series: an interactive, draggable diagram comparing Full Fine-Tuning and LoRA side by side with shared input/output, exposing the only real difference—how many parameters get trained.
- Key insight: students understand what LoRA is but not why it's cheap; dragging the rank and watching the trainable count fall makes it click.
- Freezing layers, linear probes, adapters and LoRA are all the same move: deliberately letting fewer numbers change.
- Includes 5 T/F questions (answers F/T/F/T/T), e.g. whether high rank can make LoRA cost more than full fine-tuning (yes).
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