Gradient Checkpointing

LoRA fine-tuning trainer on a laptop screen

From-Scratch LoRA Fine‑Tuning Trainer with Manual Gradient Checkpointing and Adapter Merging in Pure PyTorch

A hands‑on guide to implementing LoRA fine‑tuning with manual gradient checkpointing and adapter merging in pure PyTorch, ready to run and extend.

A visualization of low-rank matrix decomposition applied to transformer weight matrices

Build a LoRA Adapter Trainer from Scratch: A Portfolio Project That Signals Real Systems Skill

A hands-on build guide for a from-scratch LoRA adapter trainer featuring gradient checkpointing and low-rank matrix fusion in pure Python, with architecture breakdown, runnable code, and a senior-level extension roadmap.

A sleek laptop screen displaying Python code with a GPT model diagram.

Hands-On: Scratch‑Built GPT Training Loop with Activation Recomputation in Pure Python

A minimal, pure‑Python GPT training loop with gradient checkpointing, perfect for showcasing systems‑level deep learning know‑how on a CV.