Learn LLM Path / pillar 4 of 10
Free track: every swapped resource costs $0. Concepts you already checked stay checked.
know when NOT to fine-tune, and how LoRA/QLoRA make it cheap. Optional for most app work - but a common interview topic
The one rule: fine-tune = behavior, not knowledge KEY
How to Fine-Tune an LLM (2026) - read introarticleFREEread
LoRA/QLoRA + rank, alpha, dropout, 4-bit NF4
LoRA & QLoRA In-Depth - Mark HenningsvideoFREE15m
Quick PEFT overview (LoRA/QLoRA/DoRA)
PEFT Explained - ArivuvideoFREE4m
End-to-end deep dive + code
LoRA & QLoRA Explained Simply - Sunny SavitavideoFREE1h27m
Fine-tune in the course
Ed Donner - LLM Engineering, Wks 6-7courseUdemy
Free · Extras
Concept overview, when/why to fine-tune
Finetuning Large Language Models - DeepLearning.AIvideo~1h⚠ link unverified
Hands-on: fine-tune with Hugging Face PEFT
Hugging Face PEFT docs & fine-tuning tutorialdocsread + code-along⚠ link unverified