Hands‑On Build Guide: LoRA‑Augmented Transformer Attention Block in Pure Python
A step‑by‑step guide to implementing a LoRA‑modulated attention block in pure Python, complete with runnable code, testing, and a roadmap to production‑grade extensions.
Lora
Minimal LoRA Fine-Tuning and Adapter Inference Engine in Pure Python
Build a compact LoRA engine from scratch, demonstrating systems skills that catch hiring managers’ eyes.
Build a LoRA Adapter Trainer from Scratch in Pure Python
Learn to implement LoRA fine-tuning from scratch, creating a portfolio project that demonstrates real ML infrastructure expertise.
Build a LoRA Adapter from Scratch in PyTorch
Learn to code a LoRA adapter from scratch in PyTorch, enabling efficient transformer fine‑tuning and a standout CV project for engineering roles.
Build Your Own Fused Low‑Rank LoRA Fine‑Tuning Engine From Scratch
A hands‑on guide to building a fused low‑rank LoRA fine‑tuning engine from scratch, with runnable PyTorch code, architecture diagrams, and production‑ready extensions.