Parameter-Efficient Fine-Tuning (LoRA, Adapters) — Roadmap Step & Res…
Fine-tuning huge models by updating only a small fraction of their parameters
- Level: advanced
- Estimated time: 1 days
- Roadmap: Deep Learning & Neural Networks
Before this step
Interview questions
- How does LoRA reduce the number of trainable parameters during fine-tuning?
Study resources
- PEFT Documentation (Article) — The official Hugging Face PEFT documentation covering LoRA and other efficient fine-tuning methods.
- LoRA Explained (Video) — A practical explanation of how LoRA fine-tunes large models efficiently.
Part of
- Transformers & Modern Architectures — section
- Deep Learning & Neural Networks roadmap — the full learning path