DAY 73 / 210
Introduction to Parameter-Efficient Fine-Tuning
This first day of phase-2 establishes why full fine-tuning is impractical for production LLMs and introduces PEFT as the practical path forward. It matters in the arc because every later fine-tuning experiment for StartupTribunal will build directly on these efficiency patterns rather than naive full updates.
⏱ 45 min target📝 3 quiz Qs
Resources
- 25 min
- 20 min
Deliverable
200-word journal entry summarizing PEFT techniques and their relevance to StartupTribunal model updates
Quiz · 3 questions
1. Which statement best describes the core idea of LoRA?
2. Name one key advantage of PEFT methods over full fine-tuning when model size exceeds 7B parameters.
3. Explain a potential misconception: why might someone think PEFT always produces lower quality than full fine-tuning, and what evidence counters it?