LoRA
Low-rank adaptation: freeze weights, train tiny matrices. 100x fewer trainable parameters.
Learning path
Work through each subtopic in order. Click any file below to open its lesson. Track your progress with the checkbox at the bottom.
Subtopics
Each subtopic includes a concise explanation, code examples, and references.
Low-Rank Adaptation
Frozen model + low-rank adapter diagram.
Frozen Weights
Model parameter map.
Trainable Adapters
Adapter overlay.
Low-Rank Matrices
A × B matrix reconstruction visualizer.
LoRA Rank
Rank slider.
LoRA Merging
Base + adapter merge animation.
QLoRA
Quantized base model + LoRA adapter.