accelerate

A practical guide details how to fine-tune agentic AI systems across four "dials" — training data, parameter-efficient fine-tuning, runtime hyperparameters, and preference alignment — using a support-…

Kohya-ss/sd-scripts enables training a ~45 MB SDXL LoRA from 15–30 product photos on a single 12 GB GPU, with a step-by-step guide covering installation, dataset preparation, and training. The workflo…

Guide for fine-tuning NVIDIA's Cosmos Predict 2.5 world model using LoRA and DoRA techniques to generate synthetic robot manipulation videos. The approach freezes the base model's 2 billion parameters…