Comparing PEFT Methods — Roadmap Step & Resources
LoRA versus other parameter-efficient techniques
- Level: beginner
- Estimated time: 1 days
- Roadmap: Fine-Tuning & Model Customization
Before this step
Mini projects
- Fine-tune a small open-weight model using LoRA on a custom dataset and evaluate the results
Study resources
- PyTorch Documentation (Article) — Official documentation for the deep learning framework underlying most modern fine-tuning workflows. Background reading/viewing for: Comparing PEFT Methods.
- Hugging Face Documentation (Article) — Official documentation on the PEFT library, including LoRA. Relevant to: Comparing PEFT Methods.
Part of
- Parameter-Efficient Fine-Tuning (PEFT/LoRA) — section
- Fine-Tuning & Model Customization roadmap — the full learning path