DAY 62 / 210
LoRA Fundamentals for Efficient Model Adaptation
This day introduces parameter-efficient fine-tuning as the core technique for phase-2, enabling StartupTribunal builders to adapt large models without prohibitive compute. It sets the foundation for later days that will apply these methods to production pipelines rather than generic tutorials.
⏱ 45 min target📝 2 quiz Qs
Resources
- 25 min
- 20 min
Deliverable
Journal entry comparing full fine-tuning vs LoRA on a 7B model with measured memory and time deltas
Quiz · 2 questions
1. What is the primary benefit of LoRA over full fine-tuning?
2. Name one common misconception when first implementing LoRA rank selection.